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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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Department of Biomedical Engineering Research Assistant (Ref. 250711015) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “Developing a foundation model for knee osteoarthritis revolution”. Qualifications Applicants should have: (a) ...
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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facilities and laboratories for basic scientists, PhD students, and postdoctoral fellows. Candidates should possess: (i) a PhD or equivalent in Biomedical Sciences, Computer Science, Bioinformatics or related
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to organize conferences, seminars, reading groups, workshops, and other related research activities; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered
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Ref.: 532831 Work type: Full-time Department: Faculty of Law (18100) Categories: Senior Research Staff & Post-doctoral Fellow Assistant Research Officer/ Senior Research Assistant in a Research Centre in the Faculty of Law (to commence as soon as possible thereafter, on a two-year fixed-term...
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Methods The appointees will be mainly responsible for (a) engaging in teaching and learning activities; (b) supporting academic programme coordination and management; (c) organizing research events (e.g
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies