60 computational-physics-superconductor Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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24 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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2 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Physics Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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13 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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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
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2 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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comparisons, and collaborate closely with Prof. Binzheng Zhang and other DEPS researchers. Requirements a Ph.D. degree in space physics, magnetospheric physics, or a closely related field demonstrated expertise
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533136 Work type: Full