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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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). The position is subject to financing by the University of Bergen. About the project/work tasks Geometric Deep Learning (GDL) is a branch of machine learning that develops neural network models by explicitly
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be integrated into an advanced research environment, benefiting from: scientific supervision by the project team; participation in national and international research networks; involvement in
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Singapore, Shenzhen, and Cape Town, IMD works with 19,000+ executives from 120+ countries annually. Our 145,000+ alumni form a powerful global network. Consistently ranked among the world's top business
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-HQPD-2026-0176 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific
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teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development
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research outputs. A clear research vision aligned with one or more of CCMAR’s thematic areas. Strong communication, networking, and collaborative skills. Eligibility Applicants must comply with
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
Job Code: PIC20260327 Job Offer from March 27, 2026 The Max Planck Institute for Political and Social Science in Göttingen conducts interdisciplinary research into pressing issues of social and
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this gender political gap. The project aims to combine survey data on political opinions and spatial data on mobile network access across Europe, employing cutting-edge empirical methods to establish causality