33 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Ref.: 532531 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
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the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 532954) Applicants should possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines, and in-depth experience with at least
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22 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Sociology Ethics in health sciences Mathematics Researcher Profile Recognised Researcher
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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
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Kong Application Deadline 8 Sep 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
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the field 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