191 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced quantitative proteomics platforms such as Olink and Simoa technology to
-
in a Social Sciences or related disciplines. They should have at least 3 years’ relevant teaching experience at tertiary and professional level, or a combination of 3 years of teaching, research and/or
-
Ref.: 532026 Work type: Full-time Department: Department of Mechanical Engineering (14500) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Associate
-
publications, and foster collaborations with academic and industry partners Lead business development initiatives, including identifying funding opportunities, facilitating technology transfer, and establishing
-
Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
candidate may be trained in any humanities discipline(s) and will contribute to the development of an interdisciplinary global creative industries undergraduate programme. Those with the ability to deliver
-
experiments involving molecular biology techniques and biostatistical analysis Undertake other duties as assigned 5.5 workday per week is required Requirements a Ph.D. degree, preferably with experience in
-
Science or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written
-
reports Provide general administrative and operational support Perform other duties as assigned Requirements A Master’s or Ph.D. degree, preferably in health economics, public health, epidemiology
-
, Health Economics, Epidemiology, Data Science, Biostatistics, or related disciplines, with post-doctoral research experience. They should have (i) a strong quantitative and qualitative background; (ii) a