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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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an asset: Hands-on experience with laser setups and optical characterization techniques Understanding of rare-earth-doped materials Programming skills, ideally in Python What we offer The position is limited
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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., Python or C++) is essential Experience with machining processes or ML approaches are advantageous A high degree of motivation, initiative, independence Good language skills in German and/or English What
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of Python German language skills Required Documents CV Certificates Transcripts Application https://stellen.uni-kassel.de/jobposting/43adda426450194ce164d3ac1c9f5f98f49464dd0 https://www.uni-kassel.de/fb10
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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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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results