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large interdisciplinary consortium and is expected to actively participate in conceptual development, high-impact scientific publication, and international research collaboration. Eligibility Candidates
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UiO/Anders Lien 28th February 2026 Languages English English English Postdoctoral research fellowship in the computational analysis of gesture-vocalization interactions Apply for this job See
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific programming. Ideal
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activities that align with the DOE's mission. Program participants will gain insight into the federal government's role in creating and implementing policies that will impact energy technology development
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Framework Programme? Other EU programme Reference Number BASQ/2026/001 Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Quantum Computing
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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The Wesleyan Media Project (WMP), in collaboration with Wesleyan University’s Hazel Quantitative Analysis Center (QAC) at Wesleyan University, is seeking a postdoctoral researcher in computational
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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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