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Field
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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of adipose tissues and to identify secretory factors involved in conversion of white adipocytes to brown adipocytes Details of the R&D activities can be found at www.sklpb.hku.hk and www.antibody.hku.hk
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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has experience with programming, data analysis and visualisation using Matlab, R and/or Python. Research in a clinical setting means that flexibility with work scheduling is occasionally required (e.g
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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the following PhD project: R-loops occur naturally during transcription and can have important regulatory functions, however, persistence of R-loops can have deleterious effects and result in the accumulation
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experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
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collecting and systematizing a digital corpus of sources from Nordic countries; conducting a range of research tasks using R on this corpus; assist with organization of seminars and a workshop; and will have
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge