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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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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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., R, Python). Strong organizational skills, reliability, and an ability to work independently. Willingness to participate in fieldwork campaigns, including multi-day site visits. Good written and oral
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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary
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and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work independently and self-reliantly, while maintaining strong teamwork
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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engineering, fluid dynamics, 3D CAD, electrical engineering) Coding skills (Python) Your Benefits Competitive compensation and cenefits: In addition to the collective wage agreement under TV-L (classification