23 parallel-processing "UCL" "UCL" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
Ref.: 537546 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in
-
the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300
-
Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
-
-time Research Assistant in the HKU Musketeers Foundation Institute of Data Science (Ref. 537500) We are searching for talented computer programmers to serve as part-time research assistants (RAs
-
record demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq
-
adolescents, supervision of research interns, data processing, and other research-related duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in
-
assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
-
experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
-
: Collecting, cleaning, and analysing research data under supervision, ensuring accuracy, quality and integrity throughout the process. Preparing comprehensive technical reports detailing research methods
-
of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should