Sort by
Refine Your Search
-
technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
-
, 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
-
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
-
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
-
strong sense of responsibility and be able to work independently and in a team with different stakeholders. The appointee will work on a research project that evaluates the effects of a programme designed
-
Bioinformatics, Computing/Programming, or a related discipline. Experience in using PMNN, ESM2 and RFdiffusion would be an advantage. The appointee will work in collaboration with research teams focusing
-
Science or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written
-
Ref.: 532458 Work type: Full-time Department: School of Humanities (05200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow in Philosophy of Artificial Intelligence (Ref.: 532458), to commence as soon as possible. The...
-
essential good computer skills in infographics What We Offer The appointment will commence in May 2025 and last until end of June 2026. A highly competitive salary commensurate with qualifications and
-
Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput