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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
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, Python-language and scripting as well as Linux and HPC environments. Previous experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves
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/or networks that the group may be presently missing The candidate must have excellent skills in written and spoken English, Python-language and scripting as well as Linux and HPC environments. Previous
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inference and data modelling is a bonus. Prior experience in some computer programming language is expected (Python, Julia, R, Matlab etc). Excellent communication skills in English, both verbal and written
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written and spoken English Strong experience in dynamic meteorology Some previous experience in programming in Python and statistical analysis of scientific data is wished for. Previous experience in