Sort by
Refine Your Search
-
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
-
Ref.: 536424 Work type: Full-time Department: Department of Civil Engineering (14100) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Intelligent Structural
-
Ref.: 536954 Work type: Full-time Department: HK Institute of Quantum Science & Technology (47300) Categories: Professoriate Staff, Senior Research Staff & Post-doctoral Fellow, Research Staff 1-2
-
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
-
. Preference will be given to those whose research interests focus on Probability Theory, in particular Random Geometry. Successful applicants are expected to work in the research group of Prof. Wei Qian (https
-
, and control of power systems for safe, adaptive, and resilient autonomous research platforms. Qualifications: Applicants should possess a Bachelor’s degree in Electrical and Electronic Engineering or a
-
research interests focus on Probability Theory, in particular Random Geometry. Successful applicants are expected to work in the research group of Prof. Wei Qian (https://qian.perso.math.cnrs.fr/ ), and to
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
. Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
-
and construction workflows Requirements A PhD’s degree; AI-native; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems