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and classical physics as well as between quantum and bio-molecular science. We develop universal matter-wave interferometry in the limit of high mass and high complexity, from organic molecules to metal
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pipelines to monitoring batteries in electric vehicles, ultrasonic measurements let us “see” inside materials without damaging them. Yet interpreting the resulting signals is far from straightforward: waves
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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the muon content of air showers, confronting high-energy hadronic-interaction models and helping to solve the long-standing “muon puzzle”. You will carry out your research in the KM3NeT group at Nikhef
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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complicated at the multi-gigawatt scale by a newly emerging phenomenon: the formation of atmospheric gravity waves, leading to highly complex, two-way interactions between the wakes and the overlying atmosphere
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models and monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life
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to staff position within a Research Infrastructure? No Offer Description The project explores extreme light–matter interactions at the nanoscale, developing advanced theoretical models in direct
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology