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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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, applied mathematics, or computer science Programming skills, ideally in Python, C++, or Fortran Knowledge of topics like fluid-structure interactions or monolithic/partitioned couplings or numerical methods
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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
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the solution by integrating state-of-the-art MARL methods, with a strong emphasis on scalability and reliability. What you contribute Experience with Python ML stack, e.g. TensorFlow, Stable-Baselines3 Strong
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for AML Pattern Detection Explainable AI for Investigator Support What you contribute Strong programming skills (Python) Solid foundations in machine learning Interest in NLP and LLMs, and/or graph-based
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Computational Engineering, Computer Science, Biomedical Engineering, Data Science, or comparable Programming skills, preferably in Python and JavaScript Experience of SQL and relational databases Basic experience
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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, knowledge in computer vision and facial recognition. Good Python skills, preferably some experience with PyTorch, OpenCV, etc. Motivation to independently delve into new and current research topics. Interest
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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