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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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, California 92093-0112, United States of America [map ] Subject Area: Mathematics Appl Deadline: 2025/09/23 11:59PM (posted 2024/10/03, listed until 2025/09/23) Position Description: Position Description
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Network Medicine and Rare Disease Research 74 Max Perutz Labs Job vacancy starting: 06/01/2025 (MM-DD-YYYY) | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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fair working environment. An inspiring research environment embedded in the Ludwig Boltzmann Institute for Network Medicine at the University of Vienna. Access to cutting-edge computational resources and
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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independent lines of investigation within the broader research program. The role of Post-Doctoral Fellow will report to Head of the Bull Lab. Some skills required: A PhD in virology, immunology or in a related
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational