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Field
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learning 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
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
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CFD, thermofluids and machine learning. Experience in Python (or another language), machine learning frameworks, or CFD tools such as OpenFOAM is beneficial but not required. Applicants should hold (or
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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
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 21 days ago
, including but not limited to Python, OpenCV, PyTorch, Unreal Engine and C++ Good oral and written communication skills in English A natural team player and detail-oriented person Some academic background
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degree in meteorology, physics, geosciences or related field excellent programming skills (preferably in FORTRAN or Python) interest in interdisciplinary climate and coastal research We offer you an
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experience. Proficiency in Python. Experience with data analysis, machine learning, and AI methods. Motivation to tackle a challenging multi-disciplinary project. Bonus (but not required) Experience with