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to an applied research project with real-world deployment context. What you contribute Essential • Strong Python programming skills and good software engineering practices (modular design, version control
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engineering, and exploratory data analysis on real-world datasets Developing and implementing AI models, including neural networks, transformer architectures, and tree-based methods Training, validating, and
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sciences, engineering or a related field. Prior experience in material characterisation is helpful but not mandatory. You find it easy to organise your tasks independently and efficiently. You are proficient
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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for the facility's methodological development, including the supervision of researchers in these projects Requirements PhD in Physics, Engineering, Neuroscience or a related field Prior experience with OPMEG, SQUID
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. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum
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Systems and Design Technology in Berlin has stood for excellence in production science. We are dedicated to combining science and practice in the field of industrial production and offer application
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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Analyst / Bioinformatician (f/d/m) Start date:October 1, 2026 With us, you will work on exciting projects, contribute your own ideas, and develop innovative solutions at the interface of data, technology
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(Master’s degree) in Physics, Engineering, or a related field. Expertise in at least one of the following areas: adaptive optics, laser communications, high-energy lasers, atmospheric turbulence, or optical