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data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial
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engineering, electrical engineering, materials science, physical engineering, computer science or similar Salary group E13 TVöD Temporary contract until 30.11.2027 Full-time / suitable as part-time employment
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participate in the Doctoral Program of the TUM School of Management • Support and collaborate on third-party funded research projects Your profile... • Completed (or close to completing) a Master’s degree or
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appointed by the AI Fellows and shared across the program Access to different IT infrastructures, including Charité, BIH and Helmholtz high- performance computing infrastructures An annual budget for research
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Europe research and innovation program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas: DC5: High-Voltage PPU for E-sail Terms: The position is limited to 36 months
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samples which are complemented by DNA methylation, DNA and RNA sequencing as well as clinical data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research
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-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Collaboration within the SEISCLIM project and
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lattice field theory) Experience and strong interest in high-performance computing Practical experience in collaborative software development (e.g., Git-based workflows) Very good C++ skills Interest in and
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integration of multi-source remote sensing data. Our work aims to extract high-precision spatiotemporal infor-mation on Earth system processes across spatial and temporal scales. Current research themes include
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
energy into acoustic waves, which can then be used to generate electricity or manage heat at the microscale. The goal is to improve the performance, efficiency and scalability of these microscale systems