233 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" Postdoctoral positions in Germany
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particle physics, computer science or a related field Experience with large-scale data management using grid or cloud technologies Experience in one of the on-site experiment would be an asset Familiarity
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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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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of slightly reduced working hours ( https://go.fzj.de/near-full-time ) The opportunity to work to some extend from home or another location within reasonable limits and in consultation with the supervisor 30
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Muehlleitner (ITP), Prof. Dr. Thomas Schwetz-Mangold (IAP), and Prof. Dr. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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following through the online application system - https://www.leibniz-inm.de/en/job-offers-2/ Motivation letter CV (max 2 pages) Publication list Academic transcripts Contact details of 2-3 references
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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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plant development. PLoS computational biology, 15(6):e1007121, 2019. doi: 10. 1371/journal.pcbi.1007121. URL https://journals.plos.org/ploscompbiol/article?id=10.1371/ journal.pcbi.1007121 . D. E. Moulton