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Field
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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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of location, qualitative dimensions, modal logics, graph theory, weighted networks, topology, mathematical morphology, and more. In sum: there are many ways to be one. The project goals include: pioneering
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to demanding application domains such as: Data interfaces to quantum computers, including cryogenic, ultra-high-bandwidth interconnects and packaging concepts for high-speed operation in extreme environments
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The selected
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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, independent research programme through a three-year Research Fellowship. We are seeking driven researchers with a strong and growing track record who will enhance and extend the Centre’s existing research
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches