139 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" Postdoctoral positions in Germany
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integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including access to top European supercomputers on site
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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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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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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Deadline 19 Feb 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 26 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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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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contributing to building an ambitious programme from the ground up. Job-ID: V000015284 Field of application: Zentrum für Infektiologie Location: Heidelberg Job Category: Science and teaching Working hours: full
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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 2 months ago
- 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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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