Karshi Engineering Economics Institute

Ref.: 534478 Work type: Full-time Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow/Senior Research Assistant in the Department of Orthopaedics and Traumatology, School of Clinical Medicine (Ref.: 534478), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics and Traumatology, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative treatments. Duties and Responsibilities Conduct research on medical image processing algorithms based on computer vision, deep learning and machine learning. Medical imaging modalities cover including but not limited to CT, MRI, X-ray and ultrasound images. Research tasks cover including but not limited to image segmentation, detection, classification, keypoint recognition, image registration, image synthesis, etc. Lead independent research projects and collaborate with partner medical institutions to complete the development, evaluation, translation, integration, deployment and other workflows of medical imaging-related algorithms. Deliver research outputs and achievements, including but not limited to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant. Applicants with a PhD degree in the above-mentioned areas are eligible to apply for the position of Post-doctoral Fellow.  Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms. Preference will be given to those familiar with the principles of various medical imaging technologies, and possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms, orthopedic imaging algorithms or other related fields are prioritized. Candidates with publications as first author in high-impact journals (medical or AI domains) or top-tier AI conferences are prioritized. Remuneration and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  Application procedure The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 31 May 2026, or until the post is filled, whichever is earlier. Enquiries about the duties of the post should be sent to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk).

Postdoctoral Fellow Position Announcement School of Public Health, Taipei Medical University (Lab of Dr. Wei-Cheng Lo) Job Title Postdoctoral Fellow Affiliation School of Public Health, College of Public Health, Taipei Medical University (TMU) Work Location 10F, Biomedical Technology Building, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City (Shuang-Ho Campus, Taipei Medical University) Research Overview The lab is led by Associate Professor, Dr. Wei-Cheng Lo (Nicholas). Our research mainly focuses on Burden of Disease estimation in Taiwan, as well as the long-term health impacts of lifestyle and environmental exposures. Using disease burden metrics as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts of diverse health risks on population health and societal burden. Our goal is to strengthen the evidence base for health policy planning and evaluation. In recent years, the laboratory has led multiple externally funded research projects supported by national funding agencies, including the National Health Research Institutes (NHRI), the National Science and Technology Council (NSTC), the National Health Insurance Administration (NHIA), and the Health Promotion Administration (HPA). Key Responsibilities Conduct research projects funded by the NSTC and assist with additional assigned academic and administrative tasks. The laboratory maintains long-standing collaborations with the Taiwan Burden of Disease Center, the Institute of Epidemiology and Preventive Medicine at National Taiwan University (NTU), and the Institute of Statistical Science at Academia Sinica. The successful candidate will have opportunities to engage in cross-institutional research projects and participate in interdisciplinary academic discussions with collaborating scholars.   Working Hours Monday to Friday, standard 9-hour shift (including a 1-hour lunch break). Qualifications Ph.D. or Master’s degree in Public Health, Epidemiology, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred. Strong interest and commitment to medical and public health research. Proactive, eager to learn, and able to work effectively in a team environment.   Salary and Benefits This postdoctoral research fellowship will be funded by the National Science and Technology Council (NSTC). Salary will follow NSTC’s approved pay scale. Starting salary may be adjusted based on academic qualifications and experience; candidates with extensive relevant experience may negotiate salary. Year-end and other bonuses, as well as additional benefits, are provided according to university regulations.   Application Method Interested candidates should submit the following materials via email: CV (including contact information), autobiography, degree certificate, thesis/publications, and other supporting documents. Email: jenny612010@gmail.com (Please specify "Application for Postdoctoral Fellow" in the subject line). Contact Person: Ms. Chih-Yu Liao (Jenny) Phone: 02-6620-2589 #16094   Selection Process Qualified candidates will be contacted via phone or email to schedule an interview. Candidates who do not meet the requirements will not receive separate notification. Additional Information The lab provides a supportive and dynamic working environment. Dr. Lo is approachable and highly committed to the career development of lab members. Research publication and continuous learning are actively encouraged, including participation in domestic and international conferences and professional training, with financial support provided within available resources.

Full Time 12-month opportunity for a Research Focused academic Exciting opportunity in the field of Endocrinology & Andrology Base Salary $89,831.00 PA + 17% superannuation About the opportunity This role offers an exciting opportunity to contribute to impactful research within the fields of Reproductive Endocrinology and Andrology. As a Research-Focused Academic, you will apply and deepen your expertise to advance the Faculty/School's research agenda, working closely with the leading Professor of Reproductive Endocrinology & Andrology. You will participate in innovative projects that address critical questions in reproductive health, collaborating within a dynamic and supportive research environment. You will work under broad supervision, managing your responsibilities independently while contributing effectively to team-based research. With the autonomy to choose appropriate research methods, you will plan and prioritise your workload to meet project goals and deliver high-quality research outputs. As a subject matter expert, you will act as a key point of contact in your specialist area, providing informed advice and resolving routine matters, while also collaborating with others to navigate more complex issues. This position is ideal for a proactive and motivated researcher who is passionate about advancing knowledge in reproductive science and contributing to meaningful, real-world outcomes. Your key responsibilities will be to: conduct research, scholarly or professional activities independently or as part of a team, contributing to knowledge within the discipline develop and refine independent research skills under the guidance of senior academic staff provide informal mentoring and support to students within the discipline carry out administrative tasks and actively participate in faculty or school meetings contribute to a positive and inclusive workplace culture that values diverse perspectives, collaboration, excellence, and achieving outcomes understand and support the advancement of the university and faculty/school strategic priorities undertake other duties and contribute to projects appropriate to the classification level as required. Selection Criteria: Essential: science degree (BSc or MSc degree or equivalent) in laboratory-based science experience with theory and practice of stereological enumeration of objects in tissue sections experience with laboratory molecular biology methods (DNA/RNA extraction, PCR, genetic/DNA database searching) including method development and troubleshooting willingness to work independently, with guidance, and in a group excellent oral and written communication skills in English strong familiarity with standard computer methods (Word. Excel, PowerPoint), statistical and graphics packages Desirable: experience with rodent handling and surgery experience in other laboratory procedures including organic solvent extraction of steroids from biological fluids experience with electron microscopy Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a university community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Danielle Selinger, Recruitment Consultant by email to danielle.selinger@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 15 March 2026 11:59 PM