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23 Feb 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Computer science Engineering Technology Researcher Profile Recognised
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Post Doctoral Fellow - Biostatistics and Data Science - (2500018O) POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is
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for candidates interested in the intersection of complex oxide epitaxy, quantum information, and nanophotonic to contribute to high-impact science at a national user facility. Key Responsibilities Develop and
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Charles University in Prague, Quantum Information and Thermodynamics group Position ID: Charles University in Prague-Quantum Information and Thermodynamics group-POSTDOC [#31239] Position Title
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, or similar, and a degree in Environmental Engineering, Environmental Science, or a related quantitative field. Position 2 will focus on large-scale data analytics and machine learning. Applicants should have
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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27 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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Position Overview School / Campus / College: College of Engineering Organization: Mechanical Engineering Title: Postdoctoral Scholar in Quantum Information and Quantum Matter Position Details
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn