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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
computational methods to investigate the structure, dynamics and function of cellular systems at molecular scale. It consists of about 200 employees from more than 25 countries, and is located at the Campus
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We, the Fraunhofer Institute for Computer Graphics Research IGD, are looking for a student assistant for our Competence Center "3D Printing Technology" to join our team in the field of software
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
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. The objective is to reduce the computational effort of grid simulations while enabling meaningful analyses of the impacts of Vehicle-to-X (V2X) applications on a national scale. The thesis offers the opportunity
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
computational methods to investigate the structure, dynamics and function of cellular systems at molecular scale. It consists of about 200 employees from more than 25 countries, and is located at the Campus
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a related degree program. Experience in laboratory work, materials synthesis, and reactor operation is advantageous. Proficiency with material characterization techniques and tools such as MATLAB
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at the seeded FEL FLASH2020+ and will be used for the investigation of attosecond electron dynamics triggered by attosecond pulses Within the project, we also plan to continue our collaboration with