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6 Mar 2026 Job Information Organisation/Company Cluster of Excellence ROOTS Research Field History » Prehistory History » Archaeology Anthropology » Physical anthropology Cultural studies » African
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Scientific Personnel 05.03.2026, Academic staff BioSysteM Cluster of Excellence at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop the Protein Design
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Scientific Personnel 02.03.2026, Academic staff To meet the advanced instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a Technology Hub staffed with dedicated
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the DFG-funded TransforM Excellence Cluster. About the TransforM Excellence Cluster: TransforM is one of TUM’s interdisciplinary Clusters of Excellence, funded under Germany’s Excellence Strategy
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advanced compilation techniques for scientific and AI applications on heterogeneous GPU clusters. Research topics include scheduling, memory management, communication–computation overlap, and performance
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location: Rostock Deadline: 17.03.2026 Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat ) and contribute to one of Europe’s most exciting research initiatives
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 3 days ago
workstations for experiment-linked processing; the University of Konstanz high-performance computing cluster; advanced computational facilities at the Max Planck Computing and Data Facility (MPCDF) in Garching
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projects within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or
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on the development of the SPHEREx Legacy Galaxy Clusters Catalog. The successful candidate will lead analyses to characterize galaxy populations in clusters using SPHEREx data in combination with complementary wide