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, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible mindset for
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. Profile Essential Requirements Masters in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics or equivalent, but a PhD degree is certainly a plus Detailed knowledge in Python and
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a quantitative discipline (e.g., Physics, Computer Science, Mathematics, Machine Learning, Statistics, Bioinformatics, Computational Neuroscience). You have a genuine interest in interdisciplinary
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, Computer Science, Mathematics, Machine Learning, Statistics, Bioinformatics, Computational Neuroscience). You have a genuine interest in interdisciplinary work at the interface between machine learning and
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Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be considered at junior or more senior levels assuming relevant experience in foundational machine
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Python Ability to adapt to the research environments while being full members of two labs Desirable skills knowledge of gene regulatory mechanisms statistical analysis basic processing of NGS data