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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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19.01.2026 Application deadline: 15.02.2026 The High Performance und Cloud Computing Division at the IT Center (ZDV) of the Eberhard Karls Universität Tübingen seeks to fill one project positions
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-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We value and promote the diversity of our employees' skills
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in theoretical and computational modeling of biological processes. The activities of the research group should complement the existing groups at BioQuant, particularly through contributions
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salary is based on the German Labor Agreement for Public Service (TVöD). Your qualifications BSc/MSc in Computer Science or related field. 1–3 years of experience in modern software and infrastructure
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visualization in Python Numerical modeling and programing for model optimization & machine-learning What you contribute Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or a
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Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
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Preparation and documentation of results What you contribute You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python You have
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We
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-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We value and promote the diversity of our employees' skills