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programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the appointee, not the position’s principal teaching focus. This is not a position
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, or other omics data analysis approaches Programming skills in R, Python, or equivalent Ability to work independently while flexibly contributing actively to an interdisciplinary research team
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data