53 parallel-computing-numerical-methods Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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analysing large scale quantitative research using advanced statistical methods such as multiple linear regression, mediation analysis, multilevel modelling, and latent variable models. Strong organizational
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple
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19 Sep 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Mathematics Psychological sciences Researcher
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promotion subject to funding availability and satisfactory performance. This position is primarily computational/dry-lab. The successful candidate will work closely with our wet-lab team to address key
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satisfactory performance and funding availability. Applicants should possess a Doctoral degree in statistics, biostatistics, computer science, psychiatry, psychology or a related discipline. They should be
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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Deadline 31 Dec 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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: Collecting, cleaning, and analysing research data under supervision, ensuring accuracy, quality and integrity throughout the process. Preparing comprehensive technical reports detailing research methods
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(R3) Application Deadline 30 Sep 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537081 Work type: Full-time Department: Department of Family Medicine