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J. F. Oberlin University

Machida-shi, Japan
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About J. F. Oberlin University

Basic information and contact details for J. F. Oberlin University

institution

J. F. Oberlin University’s creed is the ideal of “Gakujijijin”: learning in order to be able to help others. 

J. F. Oberlin University has approximately 10,000 students, including graduate students and students from overseas. Every year we have about 850 foreign students enrolled at the university. We have over 170 partner schools in more than 30 countries and regions around the world. Our students acquire practical experience through a variety of programs, including not only language study and academic exchange programs but also volunteer programs and internship opportunities. The university has established five overseas offices to carry out various activities in international exchange and to support students studying abroad.

Our main campus is in Machida, a suburb of Tokyo, and we have three branch campuses: Shinjuku and Sendagaya in the center of Tokyo, Fuchinobe Station in the city of Sagamihara, Kanagawa Prefecture. In addition we have research facilities off campus with lodging accommodations at Tama Academy Hills and Izu Kogen Club.

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Academic Programs

Undergraduate Programs

Graduate Programs

Summer Session

Summer Session is a four-week intensive program in the center of Tokyo. Courses include two business courses, two cultural courses and two Japanese language courses, all of which are developed from courses that are already part of JFOU`s regular curriculum. 

Exchange & Study Abroad Program

The program offers Japanese language skills and training courses from the introductory to advanced levels. A wide variety of culture and civilization courses on Japan taught in English are also offered each semester.

Student Services for the international students

Student Dormitories

We maintain two international dormitories, where students from many countries around the world live together with Japanese students.

Activities & Events

Center for Japanese Learning

Center for Japanese Learning provides resources and supports by staff for the Japanese language learning.

Admission

Accreditation

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Impact Rankings

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Research Assistant Professor in the Department of Pharmacology and Pharmacy

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534630 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Professoriate Staff Research Assistant Professor in the Department of Pharmacology and Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases, including osteoporosis, sarcopenia, frailty, and other endocrine and metabolism related diseases. Lead research projects investigating the genomics, proteomics, and metabolomics of osteoporosis and related diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise undergraduate and postgraduate students. Perform other duties as assigned. Requirements A Ph.D. degree, preferably in epidemiology, pharmacology, bioinformatics, data science, or related fields. At least 2–3 years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by publications and successful grant applications. Excellent project management and organizational skills. A high sense of responsibility and research integrity, with the ability to work independently, collaboratively, and under pressure. What We Offer The appointment will commence as soon as possible on a 1-year temporary basis. A highly competitive salary commensurate with qualifications and experience will be offered, with the possibility of renewal up to 3 years subject to satisfactory performance and funding availability. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from March 19, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Salary

Competitive salary

Posted

5 Mar 2026

Post-doctoral Fellow in the Division of Public Health Laboratory Sciences

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534613 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow (several posts) in the Division of Public Health Laboratory Sciences, School of Public Health (Ref.: 534613), to commence as soon as possible, on a one- to three-year temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in Biology or related disciplines, preferably with experience in virology research. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and environmental metagenomics would be preferred. They should be logical, detail-oriented and self-motivated. Preference will be given to those with experience in virus transmission. The appointees will lead a research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off-campus, outside office hours and on weekends may be required occasionally. Enquiries about the duties of the post should be sent to Mr Eric Yip at yiperic@hku.hk. Information about the School can be obtained at https://sph.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date CV, together with a cover letter and a list of relevant research publications. Review of applications will start as soon as possible and continue until June 4, 2026, or until the posts are filled, whichever is earlier.

Salary

Competitive salary

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5 Mar 2026

Lecturer in Psychology

UNIVERSITY OF WAIKATO

University of Waikato, Hamilton

New Zealand, Tauranga

institution

University of Waikato, Hamilton

New Zealand, Tauranga


Join a dynamic and research-focused School committed to excellence in teaching, scholarship and community engagement. As a Lecturer in Psychology, you will contribute to high-quality undergraduate and postgraduate teaching, supervise Honours, Masters and PhD students, and maintain an active research programme that enhances the School’s national and international reputation. You will bring expertise in at least two areas of psychology, such as social psychology, cognition, cognitive neuroscience, indigenous psychology, personality and individual differences, research methods, perception, developmental psychology, environmental psychology, clinical psychology or related fields. The role also includes contributing to School administration and professional or community engagement activities. Salary information $92,603 - $110,407 per year, based on the skills, knowledge and experience you bring to the position. This is a full-time role (37.5 hours per week), based at our Tauranga campus. For more information about the role, please see the position description. All applications must be submitted through the online portal - emailed applications will not be accepted. Ko wai koe? - Who are you? You will hold a PhD in Psychology and demonstrate a strong track record of high-quality research publications. You will have proven success in undergraduate teaching, including lecturing and small-group facilitation, and the ability to contribute to postgraduate supervision. You will be committed to innovative and research-informed teaching practices, collaborative research, and engagement with diverse communities. A clear commitment to Te Tiriti o Waitangi and the University's partnership with Māori is essential. Ko wai mātou? - Who are we? Te Kura Whatu Oho Mauri is a vibrant and research-focused School with strengths across behaviour, cognition, neuroscience, social psychology, personality, individual differences, clinical psychology, applied behaviour analysis and indigenous psychology. We are committed to providing a creative and supportive environment for learning and research, and to promoting bicultural practice in psychology in line with Te Tiriti o Waitangi. He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of our success. Our University stands proudly on the world stage as a provider of future-focused, international education and an active contributor to global research. Our rankings reflect these strengths. Working with us means you will enjoy a satisfying work environment with many benefits. The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. Applicants must have the legal right to live and work in NZ in accordance with NZ immigration regulations, which can be found here. Ko te Tangata - For the People The University of Waikato prides itself on the quality of its engagement with the communities it serves, the provision of a world-class education, and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all. E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa. Applications close on Friday, 17 April 2026 Requisition number: 1003448

Salary

$92,603 to $110,407 per year

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Research Assistant Professor in Department of Applied Mathematics

THE HONG KONG POLYTECHNIC UNIVERSITY

The Hong Kong Polytechnic University

Hong Kong

institution

The Hong Kong Polytechnic University

Hong Kong


With over 85 years of rich heritage, The Hong Kong Polytechnic University (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible professionals and leaders, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind”. Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in seven faculties and three independent schools. PolyU has furthermore achieved commendable results in the QS World University Rankings by Subject 2025 – it is ranked in the global top 30 for seven subjects, is first in Hong Kong for three subjects, and is in the global top 100 for 26 subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/. DEPARTMENT OF APPLIED MATHEMATICS Research Assistant Professor in Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science (several posts) (Ref. 260305001) The Department of Applied Mathematics (AMA) is one of the constituent departments of the Faculty of Computer and Mathematical Sciences. Apart from making a significant contribution to most of other academic programmes of the University by providing service teaching, the Department also offers master programmes in Applied Mathematics for Science and Technology, Operational Research and Risk Analysis and Quantitative Finance and FinTech. Starting from 2025/26 academic year, the Department offers a new Bachelor Scheme in Applied Mathematics and Finance Analytics and Fast-track Integrated Bachelor’s and Master’s Degree Programmes and will launch a new master programme, MSc in Mathematics for Artificial Intelligence Technology in 2026/27. Members of the Department have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 54 academic staff and about 105 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the Department. The Department has established Joint Laboratory of Applied Mathematics with the Academy of Mathematics and Systems Science of the Chinese Academy of Sciences (JLab), CITIC-PolyU Interdisciplinary Mathematical Digital AI Joint Laboratory (AIJLab) and Mathematical Optimization Innovation Laboratory with Huawei. The appointees are expected to be actively involved in the activities of the Laboratory. Duties The appointees will be required to: (a) conduct research as the main duty and actively pursue external research grants, such as General Research Fund, as Principal Investigator or Co-Investigator; (b) provide quality teaching at undergraduate or postgraduate level; (c) contribute to departmental service; and (d) perform any other duties as assigned by the Head of the Department or his delegates. Qualifications Applicants should: (a) have a PhD degree in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field with experience in Data Science and Analytics; (b) preferably have at least two years of relevant postdoctoral research experience; (c) have demonstrated promise of a high level of creativity in research and teaching in some subdivisions of his/her field; (d) be able to demonstrate effective classroom teaching; and (e) be highly proficient in written and spoken English. Application Please submit an application through PolyU’s career website (https://jobs.polyu.edu.hk/rap). Consideration of applications will commence on 26 March 2026 until the positions are filled. The University’s Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment/. PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect. To learn more about the University’s “Statement on Equal Opportunities, Diversity, and Inclusion”, please visit our website at https://www.polyu.edu.hk/hro/equal_opportunities_diversity_and_inclusion/.

Salary

Competitive

Posted

5 Mar 2026

Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

Salary

Competitive

Posted

5 Mar 2026

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