Sort by
Refine Your Search
-
Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in education, or learning analytics. Familiarity with theories
-
education, or learning analytics. Familiarity with theories of self- and socially-shared regulated learning, digital literacy frameworks, and/or the role of generative AI in human learning is crucial
-
, Hong Kong [map ] Subject Areas: Materials Science / Computational Quantum Science & Engineering / Physics Physics / Condensed Matter Theory Appl Deadline: none (posted 2025/11/04) Position
-
) Applicants should possess a doctoral or master’s degree in Education Measurement, the Learning Sciences, Educational Psychology, AI in education, or a related discipline. Familiarity with theories of added
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
should possess a doctoral degree in Educational Measurement, Psychometrics, Quantitative Psychology, Statistics, or a related field. They should have a deep familiarity with modern test theories, and a
-
will be given to candidates with research experience in neural circuit interrogation, neural coding underlying behavior, animal studies, and research work related to neuroscience. Applicants should have
-
experimental, writing, and communication abilities. Preference will be given to candidates with research experience in neural circuit interrogation, neural coding underlying behavior, animal studies, and
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Psychology, Statistics, or a related field. They should have a deep familiarity with modern test theories, and a strong statistical and computing background. The appointee should also have a high level of
-
Jupiter’s magnetosphere–ionosphere system are strongly preferred experience working with high-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with
-
-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data