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Python. You will work in a newly formed team of two postdocs and a PhD student, led by the PI (Ekaterina Ilin), and collaborate closely with both postdocs, who will be working primarily on a large optical
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg | Waldheim, Sachsen | Germany | 3 months ago
: - Development of workflows for automated biomolecular conjugation reactions - Work with robotic liquid handling, spectroscopy, and chromatography - Implementation of Python-based automation and data analysis
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https
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multidisciplinary team Basic knowledge of detector systems for particle physics Basic programming skills, e.g., python, Matlab or similar languages Fluent spoken and written English Proficiency of the German language
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of numerical methods Basic programming skills, e.g., Python, Mathematica or similar languages Fluent spoken and written English Proficiency of the German language is a plus. We offer: a unique opportunity to
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding