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international research network in the field of educational research with an integrated PhD training program. The successful candidate is expected to specialize in research methods (potential areas of expertise
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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available in the further tabs (e.g. “Application requirements”). Objective 'DLR-DAAD Research Fellowships' is a programme implemented by the 'German Aerospace Center' (DLR) and the 'German Academic Exchange
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Visualisation Laboratory for Peace and Conflict Cartography (VisLab) which supports KonKoop researchers in applying cartographic methods to visualise their case studies and research findings. To further
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods and/or
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Germany Application Deadline 25 Jan 2026 - 22:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Framework Programme? Not funded by a EU programme Reference Number DR/243/25 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural
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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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cancer genes for their impact on tumorigenesis, signaling activation, and targeted therapy response (e.g., Nat Commun 2019, Nat Cell Biol 2020, Nat Commun 2024, Sci Adv 2025, Nat Genet 2025). The method