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degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly, green campus with on-site
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
hold a PhD or equivalent degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
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to the German Public Sector Rates. The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame of the project
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) Country Germany Application Deadline 17 Sep 2025 - 08:42 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 24 Aug 2025 Is the job funded through the EU Research Framework Programme
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Application Deadline 9 Sep 2025 - 21:00 (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 related to
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IT colleagues and scientists at COS Heidelberg and the University Computing Center Management and migration of large amounts of data Metadata management and archiving Planning, implementation
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), and high-performance computing resources access to largescale population datasets (e.g., UK Biobank, HCP) a collaborative, agile research environment with regular team meetings, technical and scientific
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programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. The initial contract is limited to three years. Payment is based on the German TV-L
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image