252 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at CNRS
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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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of these cycles on energy, water, and carbon exchanges at the interface with the atmosphere. The tasks of the position will be (1) to process NDVI time series provided by UCL as part of the ESA CCI Medium
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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motor brain-machine interfaces based on the readout of activity in the primary motor cortex (Arduin et al. 2013, Abbasi et al. 2018), and we have trained mice to control a custom-made mouse forelimb
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Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional
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, superconductivity, quantum optics, growth (MBE) etc. – http://www.insp.jussieu.fr/. ; Our team has developed an expertise in magnetoacoustics on various systems, take a look at our webpage: https://w3
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-temperature-superconducting (HTS) magnets for the machine–detector interface of the FCC project, within the “Accelerator R&,D” group at LAPP." Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php
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at least two of the following areas: Machine learning and associated mathematical foundations Embedded systems Analog/mixed design [1] https://emergences.pepr-ia.fr [2] https://www.frontiersin.org/articles