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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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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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. 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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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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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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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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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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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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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and...
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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