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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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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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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
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to apply computational methods, numerical simulations, and modeling in a practical research environment. In doing so, you will gain insights into thermodynamic and chemical processes in energetic systems
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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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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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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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