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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and