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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine
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Investigator: Dr Abhishek Banerjee) to lead a research programme examining how the brain supports flexible behaviour in both mice and humans. The project centres on two complementary experimental streams. In
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extensions, and scalable verification via symbolic automata and related decision procedures Routing algebras: composable, algebraic representations of distributed routing protocols, as a principled basis for
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23 Jul 2026 Job Information Organisation/Company Toyota Technological Institute Research Field Technology Information science Engineering Computer science Researcher Profile Recognised Researcher
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 12 hours ago
, the LISA Consortium, and the LISA Distributed Data Processing Centre, where the department leads waveform generation and the global-fit deep analysis. Your tasks Research areas Analytical modeling
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Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Laboratory at the University of Colorado Anschutz Medical Campus is seeking a highly motivated and collaborative Postdoctoral Fellow to join our research program focused on understanding the molecular and
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing