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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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Individual scientific supervision and active collaboration in a well-networked project consortium Possibility for international visibility through presentations and publications A structured PhD program with a
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available in the further tabs (e.g. “Application requirements”). Programme Description Master's graduates with a passion for transformation processes have the opportunity to participate in a unique university
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course program. Please visit our webpage https://www.cui-advanced.uni-hamburg.de/en/career/job-openings.html for more information on our available positions and the application process. Selection process
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programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. The initial contract is limited to three years. Payment is based on the German TV-L
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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outstanding students from all over the world to apply for PhD positions in our renowned PhD program. Based in Hamburg, our program offers excellent training and top-level structured supervision in climate