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Field
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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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truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core
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continuing education programs for young scientists, a postdoc program, as well as other offerings from the Central Personnel Development Department and sports activities. Further notes We welcome applicants
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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of the components What you contribute You are studying physics, mechanical engineering, computational engineering science, computer science, or a related field, and have performed well in your studies so far You work
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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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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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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 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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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics