590 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Germany
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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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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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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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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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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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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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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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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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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