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UiO/Anders Lien 1st November 2026 Languages English English English Postdoctoral Research Fellow at the interaction between information systems and machine learning Apply for this job See
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information systems and machine learning Apply for this job See advertisement About the position We invite applications for a Postdoctoral Research Fellow position in action-oriented modeling for trustworthy AI
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong foundation in computer science or artificial intelligence/machine learning, with knowledge
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coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free
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place to study and work. Postdoctoral Research Fellow position within Physics-Informed Machine Learning for Offshore Wind At the Department of Mathematics , there is a vacancy for a postdoctoral research
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the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively meet the following two
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structures or subcortical areas Experience in applying machine learning in neuroscience Experience in analyzing large MRI dataset Familiarity with analyses of structural MRI data (volumetric and/or DTI
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fluid mechanics, computational geometry, meshing, computational graphics, computational vision, or scientific machine learning in general. Successful candidates will join a community of researchers in