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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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for building system dynamics models and for converting those models into probabilistic programs so their parameters can be inferred from data. The successful candidate will extend the mathematical and
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Postdoctoral Research Associate to work with Professor Terry Lyons at the Mathematical Institute, University of Oxford. These are two-year, fixed-term positions, funded by the Engineering and Physical Sciences
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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on the development and validation of a new humanized computational model of cochlear nerve responses to electrical stimulation under the mentorship of Dr. Ian Bruce. This work will integrate experimental data obtained
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12 Sep 2026 Job Information Organisation/Company Umeå universitet stipendiemodul Department Umeå School of Business, Economics and Statistics Research Field Mathematics » Statistics Researcher
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different areas of mathematics. One position will focus primarily on geometric and structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research