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. German language is not required. The successful candidate will have the opportunity to work on an exciting and diverse project within a nationwide research network, with numerous opportunities for development
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems
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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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population health issues. Methods used in the group’s work include quasi-experimental techniques, descriptive epidemiology, and randomized trials. The fellow will be expected to publish in high-impact peer
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students. Our Offer PhD remuneration will be in line with the current German collective pay agreement TV-L E13 (around 4500 Euros/month in the first year, 4900 Euros/month second year). The Technical
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) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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(Position number: 16-2025 Postdoc Economics) The position is funded for 24 months. An extension is possible, conditional on available project funding. Remuneration is in accordance with the German public
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, electronic health record data, and the re-analysis of clinical trial data. The researcher will be expected to publish in high-impact peer-reviewed journals. The postdoctoral fellow will have the opportunity
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of high-throughput systems is maximized using design of experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is required