543 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs in Germany
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support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare
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Scientific Assistant (f/m/d) Junior Helmholtz.AI Consultant / Completed university studies (Bache...
, Dino, Yolo) # in machine learning benchmarking and evaluation metrics # in tabular machine learning (scikit-learn, xgboost) # in reproducible scientific programming and data science # in FAIR data
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aspirations, a 1-2 page research plan as well as a strong CV. Participation in academic self-administration is expected. Please submit your application online by September 21, 2026 through the RWTH appointment
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within the FAB and Fraunhofer ISIT (e.g. MES, IT, Technical Services, and Facility Management). You plan and optimize the material flow within your area of responsibility, from research and development
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to intellectual property generation. • Help redefine how health and disease are assessed in future medicine. This position is embedded within major research and innovation programs funded by the European Union and
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Advanced MA studies in mathematics with a specialisation in Actuarial and Financial Mathematics Interest in the subject pension scheme, ideally knowledge of German pension products Strong programming skills
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FEM simulation (preferably Abaqus or Ansys) is required Prior knowledge of machine learning and experience in programming skills (preferably Python) is required Knowledge of Physics Informed Neural
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for scientists at different levels (beginner to advanced) Your profile Master or PhD in informatics, bioinformatics, engineering, or related fields with corresponding work experience Strong programming skills (R
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the model with PyTorch into a model ensemble Evaluation and documentation What you contribute Studies in computer science or a computer science-related degree program Very good knowledge of PyTorch
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with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming