42 machine-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at CNRS
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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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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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physics and quantum chromodynamics. Knowledge of computer programming is a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3681-CAMFLO-002/Default.aspx Work Location(s) Number
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on model papers using a dedicated micro-tensile machine coupled with 3D real-time in situ observation using synchrotron X-ray microtomography (ESRF). • 3D Image analysis routines will be used to identify
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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imaging setups, XRF scanners, micro-XRF, and synchrotron XANES), as well as guidance at the intersection of paleontology, biology, and physical chemistry. Where to apply Website https://emploi.cnrs.fr
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https://emploi.cnrs.fr/Offres/CDD/UPR4301-LAELEG-068/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation LevelPhD or equivalent
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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models capable of inferring the IPLS directly from widely available genomic and epigenomic data. Broadly, the project aims to develop integrative approaches at the interface of (epi)genomics, machine