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SPECIFICS The laboratory of Assistant Professor Lukas Muechler in the Department of Chemistry at The Pennsylvania State University, seeks to fill one postdoctoral research position in the field
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30 Dec 2025 Job Information Organisation/Company National Institute for Materials Science Research Field Mathematics Astronomy Physics Geosciences Chemistry Researcher Profile Recognised Researcher
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Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology - (250000Y1) The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences
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. This position offers an exciting opportunity to contribute to fundamental and applied research in materials chemistry using advanced computational techniques and artificial intelligence. The project involves: 1
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Job Title:2026-2028 Post-doctoral Fellow - Alzheimers Disease Target Biology Location: Cambridge, MA About the Job Join the engine of Sanofis mission where deepimmunosciencemeets bold, AI-powered
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rolling basis until the position is filled. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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Full time, 2 years fixed term Located at the School of Chemistry on the Camperdown Campus Opportunity to contribute to multidisciplinary research on new mitochondrial targeting agents Base Salary
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· Full time, 2-years fixed-term located at the School of Chemistry on the Camperdown Campus · Opportunity to contribute to multidisciplinary research on new mitochondrial targeting
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Professor Fei Lu and Bloomberg Distinguished Professor Mauro Maggioni on topics including mathematical foundations of data science and statistical/machine learning, with an emphasis on inverse problems and in