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Field
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programming languages such as R or Python, or familiarity with other computational tools relevant to genomic and transcriptomic data, or a strong aptitude in developing these skills is essential. Personal
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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or neuroimaging data analysis. Skills in statistics, programming (R, Python, or MATLAB), and preferably familiarity with MRI (ASL, QSM) or biomarker research. Strong motivation to work across disciplines and
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basic programming skills or R-experience. strong written and oral communication skills in English. Additional Information Benefits a position for one year (1.0 FTE), with an extension of a year upon a
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in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international, transdisciplinary teams. You have an excellent command of written and spoken
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-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
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, Computational, or Clinical Neuroscience; good programming skills (R and/or Python); proficient in spoken and written English and Dutch (for interactions with misophonics); excellent social skills and enthusiasm
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be discussed (minimum of 0,8 FTE on-project). Your experience and profile: PhD degree in Cognitive, Computational, or Clinical Neuroscience; good programming skills (R and/or Python); proficient in
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labeling and sample MS preparation protocols. experience with mammalian cell culture, flow cytometry and antibody staining. experience with handling of large datasets and basic programming skills or R
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information If you would like more information about this vacancy or the selection procedure, please contact Dr. Sandra K R, via S.KanjirakkatRaveendran@tudelft.nl . Application procedure Are you interested in