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Field
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mechanisms as well as the effectiveness and limitations of corresponding defense strategies. What you contribute Very good Python skills, which will be tested in the interview. Basic understanding of AI/ML
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) Familiar with basic terms and concepts such as: classification, hyperparameter optimization, fine-tuning, model evaluation Profound knowledge of Python is mandatory and will be tested in the interview
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-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview Advantageous: ability to independently implement methods and procedures from scientific publications
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Understanding of adaptation concepts and flood risk system: hazard, exposure, vulnerability and adaptation Experience in handling large data Advanced programming and code management skills (Python, R, GIT
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving skills and interest in mathematical research. Experience with
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better than 2.5 - Very good programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) - Experience in the development of simulation environments or experimental software platforms
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programming skills, preferably in Python good language skills in German or English enjoy experimental and scientific work team player, open-minded and motivated to work independently and purposefully What you