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of using Python or R Very good written and spoken English (min. B2) In addition, the following criteria are desirable: basic knowledge of analytical chemistry, neurobiology, or behavioural ecology Experience
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; Experience with programming (e.g. Python) is a plus; Familiarity with membrane biophysics or soft matter physics is advantageous; Strong written and oral communication skills in English; Ability to work
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have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. • You have excellent command
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(preferably in R, Python, GIS) • Competences in quantitative research methods - ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets
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-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS) • Competences in quantitative research methods – ideally knowledge of several of the following
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) • Preferably demonstrable experience in academic writing for publication (e.g. first or co-authored peer reviewed papers) • Well-developed statistical software skills (preferably in R, Python, GIS
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, bioinformatics, computational biology, statistics, computer science, or similar Solid programming in R and/or Python, and/or experience analyzing sequencing data in a bioinformatics context Preferred Prior work
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in R and/or Python, and/or experience analyzing sequencing data in a bioinformatics context Preferred Prior work with single-cell RNA-seq (QC, normalization/integration, differential expression
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, Applied Mathematics). Excellent command of written and spoken English (C1 level) Excellent programming skills in Python and their scientific application. Experience in academic writing. Excellent abilities