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(biostatistics, applied statistics, data science, computer science, computational biology) or in agronomy or ecology with a statistical and computational background. The ideal candidate has a good theoretical
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computer science, bioinformatics, biostatistics, mathematics, systems biology or another relevant life science or related fields. Knowledge of R and/or Python programming language as well as experience with machine
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masters’ degree (or equivalent) in computer science, bioinformatics, biostatistics, mathematics, systems biology or another relevant life science or related fields. Knowledge of R and/or Python programming
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