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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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-erklæringen var sist oppdatert 23.02.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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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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The Research Program in Development Economics (RPDE) at Princeton University's School of Public and International Affairs invites applications for two Postdoctoral Research Associate positions
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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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Read Inti's storyClose this story Does this sound like you? You have a PhD in a relevant field (e.g. cognitive or affective neuroscience, computational psychiatry; human decision sciences). You have a
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Burroughs Wellcome Fund: Postdoctoral Diversity Enrichment Program Eligibility: Limited to citizens of Canada and the U.S.; candidate must have no more than 48 months of postdoctoral research
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20 Feb 2026 Job Information Organisation/Company University of Jyväskylä Research Field Chemistry » Computational chemistry Chemistry » Other Computer science » Programming Computer science » Other
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types