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tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level programming
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R and/or Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from
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. Experience with numerical simulations (e.g., Finite Element, Finite volume, and other techniques) and programming (e.g., Python and MATLAB) is deemed advantageous. English language skills, both written and
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, sensor technology, or laboratory/field experiments. Skills in programming (e.g. Python, R) and data analysis. Ability to prepare technical reports, scientific papers, and presentations. You need to: Be
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, particularly Python, and best practice in data management and use of Github. Experience with robotics or maritime autonomous systems, including perception, planning, or navigation. Experience and abilities
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled