54 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open-source medical imaging computing platform like
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27 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Engineering Engineering Researcher Profile Established Researcher (R3
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) Country Hong Kong 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
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533004 Work type: Full-time Department: School of Biomedical Sciences
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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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, epigenetics, cell cycle regulation upon environmental stresses using genomics, genetics, cell biology and biochemistry approaches, under the supervision of Dr. Karen Yuen (kwyyuen@hku.hk). We are looking for a
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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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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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. Applicants should possess a Ph.D. degree in Neuroscience, Biomedical Engineering, Biochemistry, Molecular Biology, Genetics/Genomics, Stem Cell Biology, or a related discipline, and demonstrate outstanding