East Tennessee State University
About East Tennessee State University
Basic information and contact details for East Tennessee State University
East Tennessee State University (ETSU) opened its doors in 1911 as East Tennessee State Normal School, a teacher training institution which survives to this day as ETSU’s University School K-12 education programme. The university took on its current name in 1963 after expanding its curriculum and gaining university status.
ETSU offers a broad range of academic subjects, with colleges of Arts and Sciences, Business and Technology, Clinical and Rehabilitative Health Sciences, Education, Medicine, Nursing, Pharmacy and Public Health. It also has an Honors College and schools of Continuing Studies and Graduate Studies.
ETSU has several unique course offerings. The Appalachian Studies minor looks at the history and culture of the Appalachian region and its indigenous people. ETSU is one of just a handful of universities to offer a graduate course in storytelling. The public speaking skills learned on the course are valuable for any role that requires group communication, from teachers to sales officials. ETSU is also the home of the first degree in Bluegrass, Old Time and Country Music Studies, making it a favourable choice for musicians.
The ETSU campus is located in Johnson City, Tennessee, a hub for bluegrass music and Americana. The city’s yearly Little Chicago Blues Festival pays homage to the region’s musical heritage, while international music is celebrated at the Blue Plum Festival.
Trails through the Appalachian Mountains begin just 30 minutes away from ETSU’s campus. Further afield, the Cherokee National Forest and Great Smokey Mountains National Parks offer more opportunities for camping, hiking and climbing in beautiful natural settings.
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Postdoctoral Researcher in Multimodal AI for Population Health
University of Helsinki
Finland, Helsingfors (Helsinki)
University of Helsinki
Finland, Helsingfors (Helsinki)
The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an expanding team working on difficult and meaningful challenges together with clinicians. You get to work with multimodal nationwide Finnish health data from 7 million individuals including for example medication purchases, laboratory measurements, clinical notes and imaging. Your main project will involve building and studying multimodal health trajectories on a nationwide scale to catch increasing disease risk as early as possible. In addition, this data, and similar datasets from our collaborators across the Nordics, Baltics and Europe present a fantastic opportunity to pursue your own ambitious research goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics. Collaborate closely with other team members, and national/ international collaborators. Assist other team members in experiment planning, data processing and interpretation of results. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in interdisciplinary and international research teams Willingness to supervise junior researchers and develop your supervision skills Excellent command of spoken and written English Research group The Machine Learning for Health team focuses on applying artificial intelligence to derive meaningful insights from large, real-world health and biomedical datasets. The team is led by Dr. Tuomo Hartonen. We have active collaborations with leading researchers in the EU, UK and US, with opportunities for international research visits during the employment. We collaborate closely with several research groups at FIMM and at ELLIS Institute Finland. We work with diverse international datasets ranging from Finnish and French national health registries to biobank studies such as FinnGen (Finland), UK Biobank (UK) and All of Us (United States). Contract and salary The position is initially offered for two years, and can be possibly extended. A trial period of six months will be applied. The starting salary will be ca. 3900-4100 euros/month, depending on the appointees’ qualifications and experience, and is based on the University of Helsinki salary system. The University of Helsinki offers comprehensive services to its employees, including occupational health care, support in access to high quality sports facilities, and vast opportunities for professional development. Standard Finnish pension benefits are provided for university employees. Apply at latest by August 16th, 2026. The call may be extended until a hiring decision is made. How to apply: The application should include: A one-page letter stating the motivation for applying to this position. A maximum two-page CV. List of scientific publications. An official copy of the PhD degree certificate. Contact information of 2 references (name, relation to candidate, e-mail and telephone number) who have agreed to provide a written statement on behalf of the applicant. Note that the references will be contacted only at a later stage of the process. To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through SAP Fiori https://msap.sap.helsinki.fi. For further information on the position, please contact Dr. Tuomo Hartonen (tuomo.hartonen@helsinki.fi). A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalized medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki - a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.
Salary
3900-4100 euros/month
Posted
10 Jul 2026
CBS - Postdoctoral Researcher in Fertilizer Formulation, Plant Nutrition and Agronomic Evaluation
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary, entrepreneurship and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About CBS: The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description We are seeking a highly motivated and skilled postdoctoral researcher in Fertilizer Science to join our research team at CBS, Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco The candidate will play a key role in advancing applied research related to the development, characterization, and evaluation of innovative fertilizer formulations. The overall objective is to develop efficient fertilizer products designed to improve nutrient availability, nutrient-use efficiency, soil fertility, and crop performance under relevant agricultural conditions. As a successful candidate, you will be actively involved in multidisciplinary research activities including fertilizer formulation, physicochemical characterization, laboratory testing, greenhouse experiments, and agronomic validation. Key Responsibilities Develop and formulate new simple and complex fertilizer products Contribute to the optimization of fertilizer formulations to improve nutrient stability, homogeneity, physical quality, and agronomic efficiency. Characterize produced fertilizer formulations using physicochemical and analytical tools to assess their structure, composition, stability, and performance. Evaluate the physical quality of fertilizer products Analyze the chemical composition of raw materials, intermediate products, and final fertilizer formulations. Conduct laboratory and greenhouse experiments to assess fertilizer performance under controlled and relevant conditions. Evaluate plant growth responses, biomass production, root development, nutrient uptake, and mineral nutrition following fertilizer application. Contribute to soil and plant analyses to assess nutrient availability and fertilizer efficiency. Design experimental protocols, supervise trials, collect data, and perform statistical analysis of experimental results. Communicate research progress, technical challenges, and key results to the project team through reports, presentations, and regular meetings. Prepare scientific reports, technical deliverables, peer-reviewed publications, conference communications, and patent-related documents. Contribute to collaborative research activities with internal and external partners and support the coordination of project tasks. Qualifications Ph.D. in Agronomy, Plant sciences, Soil Science, or a related field. Strong background in fertilizer formulation, plant nutrition, soil fertility, or agronomic evaluation of fertilizing products. Experience in designing, developing, and characterizing simple or complex fertilizer formulations. Good knowledge of techniques used to evaluate the physicochemical properties and physical quality of fertilizers. Ability to analyze the chemical composition of raw materials and finished products. Experience in planning, conducting, and analyzing laboratory, greenhouse, or field experiments. Good understanding of soil-plant-fertilizer interactions and nutrient-use efficiency. Experience with organo-mineral fertilizers, biostimulants, micronutrient formulations, or sustainable crop nutrition strategies would be considered an asset. Skills in plant growth assessment, biomass measurement, nutrient uptake evaluation, and interpretation of agronomic data. Excellent problem-solving skills, creativity, scientific rigor, and ability to work independently as well as collaboratively in a multidisciplinary team environment. Good publication track record in peer-reviewed journals. Application and Selection Detailed Curriculum Vitae; Cover letter along with a synthetic presentation of the background, research works, projects and activities, publications, and key achievements;
Salary
Competitive
Posted
10 Jul 2026
Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/
Salary
Competitive
Posted
10 Jul 2026
Researcher Career Development Coordinator 1
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna, more than 10,000 personalities work together towards answering the big questions of the future. Around 2,900 are responsible for a variety of administrative tasks and thus support excellent research and teaching. Are you looking for a meaningful professional position and work that positively impacts society, too? Do you like to organize and coordinate things? We are looking for a/an Researcher Career Development Coordinator 1 174 Research Services and Career Development Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §54 VwGr. IVa Reference no.: 5944 The DLE Research Services and Career Development is looking to fill the position of a Researcher Career Development Coordinator. In this role, you will advise researchers, particularly postdoctoral researchers, on career paths within and outside academia. Your responsibilities will include conducting CV checks and mock interviews, as well as developing training and programmes tailored to specific target groups. You will proactively establish and maintain relationships with industry partners to create added value for our target group through collaborative programmes and exchange initiatives. You will ensure that early career researchers are optimally prepared for their next career steps and feel well supported at the University of Vienna. The position is initially limited to three years, with the possibility of extension. Your personal sphere of influence: The DLE Research Services and Career Development is a central service provider for researchers at the University of Vienna. It supports both young scientists and established researchers. The DLE has recently expanded its range of services to include comprehensive support for postdoctoral researchers. As Researcher Career Development Coordinator, you will play an active role in shaping professional and career development offerings for postdocs, developing innovative formats and implementing them with internal and external partners. You will work in an international, dynamic team where innovation is encouraged, and you will help ensure that the University of Vienna is seen as an attractive place to conduct research and teach and remains an appealing partner for science and industry. Your future tasks: As part of the Career Development team, you will work with colleagues from your department and the entire university, as well as external and international partners. You will advise researchers, especially postdoctoral researchers, on career options and application strategies, including reviewing their CVs and conducting mock interviews. You will manage multiple communication channels . You will develop and organize training courses, workshops, and special programmes tailored to specific target groups. You will establish and maintain contacts with industry and business partners to develop exchange and cooperation formats. You will participate in designing and implementing networking and career events. You will develop new formats and services to continuously improve career support for postdocs. This is part of your personality: You have a university degree and several years of relevant professional experience, preferably in recruiting, personnel development, human resources (HR), or a similar career development role in industry. You have consulting experience and can provide tailored support to different target groups. You enjoy networking and organizing events, and you are a strong communicator. You work in a structured and independent manner, and you are willing to familiarize yourself with new topics. You are ready to take on responsibility. You are comfortable in a project-oriented, dynamic work environment and perform well under pressure. You speak and write English at the C2 level, and you can also communicate well in German. You have solid digital skills with MS Office and digital collaboration tools, and you are open to using new technologies. What we offer: Work-life balance: You have flexible working hours and can also work remotely. There is also the possibility of part-time work, if both parties are in agreement. Inspiring working atmosphere: You are part of a dedicated team with diverse academic backgrounds in a relaxed and friendly working environment. Good public transport connections: Your new workplace is easily accessible by public transport and bicycle. Internal further training: We offer you the opportunity to develop your skills on an ongoing basis. Fair salary: The basic salary of EUR 3.390,30 can be increased dependent on professional experience. Equal opportunities for everyone: We look forward to every additional personality in the team! It’s that easy to apply: With your CV and letter of motivation Leaving Certificate, diplomas, academic certificates Via our job portal / Apply now-button If you have any content questions, please contact: Lisette Schmidt lisette.schmidt@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 07/20/2026 Administration & Organization
Salary
The basic salary of EUR 3.390,30
Posted
10 Jul 2026
Lecturer / Associate Professor / Professor in Data Science and Mathematical Modeling
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
Overview Deliver core courses (e.g., Mathematical Modeling, Data Mining, Operations Research) and mentor students in the field of digital technology. Design engaging curricula, integrate industry practices, and assess student progress via projects/exams. Collaborate on program development and stay updated with technological advancements. We are seeking candidates for all faculty ranks (Lecturers, Associate Professors, Full Professors). Job Responsibilities Deliver interactive lectures and hands-on labs. Assess student performance through exams, projects, and feedback. Align the curriculum with standards and accreditation requirements. Support students doing internships Possess clear and focused research interests, conduct independent research in relevant fields, actively participate in the guidance of student competitions and academic projects, and provide supervision for students' degree‑related research in accordance with program arrangements. Proactively engage in research projects coordinated by the program team, and actively apply for research projects at the university, provincial, and national levels, as well as industry cooperation projects. Job Qualifications Skills: Preference for Python; expertise in Data Science and Mathematical Modeling. Experience: 2 years industry/academic experience or PhD, international experience (overseas study / overseas work experience) Education: Master’s+ in Data Science related field (international education/preference for overseas experience). Competencies: Bilingual (English/Chinese); strong organizational, problem-solving skills, and technical communication skills. Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn
Salary
Competitive Salary in the Market (13th Month Salary)
Posted
9 Jul 2026