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diverse and dynamic team Provide general administrative and operational support such as HPC technical assistance Requirements A Ph.D. degree in Bioinformatics, Biostatistics, Biochemistry, or related
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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution
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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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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Bioinformatics/Computational Biology, or a related discipline, with extensive
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adipocytes to brown adipocytes A minimum commitment of 5.5 working days per week is required Requirements A Ph.D. degree, preferably in Biology, Biomedical Sciences, Multi-omics, or Bioinformatics A strong
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molecular biology, immunology, bioinformatics, multi-omics, and/or manipulation of genetically-modified mice Excellent communication and collaboration skills, with the ability to share knowledge, work
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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, neuroscience, or sports science. We are also especially interested in candidates who have strengths in Artificial Intelligence (AI), health data analytics, bioinformatics, or digital health for translational