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Field
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of advanced functional imaging methodologies for whole-brain mapping of neuronal activity (such as calcium functional imaging, nonlinear microscopy, and light-sheet microscopy), in parallel with monitoring
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position available within the research project entitled: “Nonlinear Studies of Stratified Oceanic
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in nonlinear X-ray-matter interactions and ultrafast diffraction/imaging are targeted with this position as Postdoc in the MID group. For our MID group, we are looking for a Postdoctoral researcher for
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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tracking. Specifically, advance photocurrent detected broad-band ultrafast micro-spectroscopy, towards nonlinear current/fluorescence detected multidimensional micro-spectroscopy. Contribute to publications
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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
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improvements. Examples include optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques