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) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good
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, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills
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, computer science, physics, material science, earth science, life science, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a
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Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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second-class honours degree (or equivalent) in neuroscience, computer science, engineering, bioinformatics or related fields. Strong Python and/or R skills and clear communication are essential; experience
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, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development and data processing and visualization with Python Strong interest in atmospheric
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Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn). Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals. Basic knowledge of handling
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface
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software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors