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Gubinelli at the Mathematical Institute, University of Oxford. This is a three-year, fixed-term position, funded by a research grant from the EPSRC. We particularly welcome applications from individuals who
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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fungal networks. The project is funded by a joint NIH/NSF program at the interface of mathematical and biological sciences. Job description: Lead the design, conduct, and analysis of laboratory experiments
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supervised by Professor Timothy Verstynen (Carnegie Mellon University, Department of Psychology) and Professor Jonathan Rubin (University of Pittsburgh, Department of Mathematics), providing a unique
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The QD group is looking for a highly motivated Postdoctoral Researcher to work on advances in controlling the emission properties of organic light-emitting diodes using nanoparticles embedded within the device. The work combines advanced nanofabrication methods, such as electron-beam...
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Position Description The Program in Applied and Computational Mathematics at Princeton University invites applications for Postdoctoral Research Associates or a more senior rank such as an Associate
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and