Medical University of Innsbruck

Overview Deliver core courses (e.g., Business Process Modelling and IT System, Web technologies) 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 web technologies, business process modeling and IT systems (ERP). Experience: 2 years industry/academic experience or PhD, international experience (overseas study / overseas work experience) Education: Master’s+ in Business Analysis and IT Systems 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

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.

Postdoctoral Researcher position in HTMR 2026 – Project AS PS 21 HTMR - Postdoc in phosphorous-based materials as promising cathode for Advanced Sodium-ion batteries About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About HTMR: The High Throughput Multidisciplinary Research Laboratory (HTMR) at Mohammed VI Polytechnic University (UM6P) is a state-of-the-art research facility dedicated to accelerating scientific discovery through automation, digitalization, and high-throughput experimentation. By integrating advanced robotics, intelligent workflows, and multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields such as energy, metallurgy, smart materials, chemical engineering, and environmental science. The laboratory bridges fundamental research with industrial applications, helping transform innovative ideas into scalable technologies while reducing development time, cost, and experimental complexity. Starting date: 1st September 2026 Sodium-ion batteries are a growing technology and show promising potential for large scale applications. However, developing efficient positive electrode materials is a key factor in advancing this technology and promoting its use in practical applications. NaSICON (Natrium Super Ionic CONductor) materials have a 3D structure allowing the fast diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities. This project targets the synthesis, characterization, and electrochemical evaluation of P-based NaSICON-type materials as positive electrodes for sodium-ion batteries. We are looking for an assiduous, ambitious, and engaged Postdoctoral Researcher with a strong background in chemistry of materials, materials science, electrochemistry, materials synthesis and battery research. Key responsibilities: Synthesis of different P-based materials via the sol-gel and solvothermal methods with control over morphology, particle size, and composition. Material characterization using XRD, SEM, EDS, ICP, BET, TGA, FTIR, RAMAN spectroscopy, etc. Electrode preparation, battery assembly, and evaluation of the electrochemical properties versus metallic sodium using different testing techniques (GCPL, CV, GITT, EIS, etc.). Establishing relationships between the physical and chemical properties of P-based cathodes and their electrochemical performance in sodium-ion half-cell and full cell configurations.  Performing advanced characterization using in-situ XRD, XPS, 57Fe Mössbauer spectroscopy and NMR to investigate material behavior and interfacial chemistry during synthesis and battery operation. Develop mechanistic understanding of cathode operation and degradation, identify pathways to improve the performance and safety of advanced electrochemical cells. Analyzing and interpreting experimental data and communicating findings through manuscripts for peer-reviewed journals, presentations at scientific conferences, internal reports, group meeting presentations. If this topic sounds interesting and you would like to hear more, please contact: Ms. Yousra Moukadiri (yousra.moukadiri@um6p.ma ) or Prof. Aziam Hasna (hasna.aziam@um6p.ma ) Profile: Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, chemical engineering, materials science, or equivalent. Required hands-on experience with sol-gel and solvothermal synthesis of cathode materials. Strong background in electrochemistry, including experience performing and interpreting galvanostatic testing of half-cells and full cells, electrochemical impedance spectroscopy (EIS), cyclic voltammetry, etc. Broad understanding of materials science concepts relevant to electrochemical systems, with the ability to apply insights from related research areas to solve battery materials challenges. Strong oral and written communication skills. Ability to model UM6P’s core values of impact, respect, integrity, and teamwork. Keywords: P-based materials, positive electrode materials, sodium-ion batteries, synthesis, crystal structure, electrochemical properties. Laboratory: High Throughput Multidisciplinary Research Laboratory (HTMR). Project duration: 1 year