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submit grant proposals to secure research funding apply bioinformatics, biostatistics, and computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory
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6 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher
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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
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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Kong Application Deadline 13 Oct 2025 - 00:00 (UTC) Type of Contract Temporary 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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and SPSS, for large and complex data analysis Proven knowledge and experience in undertaking research related to end-of-life care is advantageous What We Offer The appointment will commence from as soon
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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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Kong Application Deadline 21 Nov 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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Hong Kong Application Deadline 23 Jan 2026 - 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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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533516 Work type: Full-time Department: Centre for Information