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Leveraging the spatio-temporal coherence of distributed fiber optic sensing data with Machine Learning methods on Riemannian manifolds Apply by sending an email directly to the supervisor
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We are looking for highly motivated early-career postdoctoral scientists willing to conduct independent research in computational biology at Nantes University in France. Nantes University has
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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Research axis of the 3IA: Axis 3 - AI for Computational Biology and Bio-inspired AI Supervisor (3IA Chair): Emanuele Natale, Sophia Antipolis Laboratory for Computer Science, Signals and Systems
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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the interest of the project, including describing the landscape of genetic ancestry across the dataset, mapping differences in allele-frequencies between sub-populations (with a focus of clinically relevant and
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regularization. In the morpheme group we have proposed model-driven approach (e.g., COL0RME [1]) as well as model-based data-driven approaches (e.g., GANs [2] or Plug& Play [3]). A different and increasingly
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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ExpoSignalz Project: An exciting research project funded by the European Union’s Horizon Europe Research and Innovation Programme The aim of the ExpoSignalz Project is to investigate how exposure