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, optics, signal processing, data science, or a related discipline. They should have strong skills in physical modeling and/or machine learning, as well as experience in the development of scientific
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, modelling and advanced signal analysis to link neural dynamics, cognition and clinical symptoms, working closely with the neurology and psychiatry departments at Grenoble Alpes University Hospital (CHUGA
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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, provide an assessment of the application. Please indicate their relationship to you Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally
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Science or related fields (Signal Processing, Applied Maths), or in Geosciences with demonstrated methodological contributions in AI. Required skills: We are seeking a candidate that is strongly motivated to improve
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-technical interlocutors You are proficient in written and oral English (level C1) Knowledge of MRI or magnetic resonance spectroscopy signal processing methods as well as heat transfer mechanisms and
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) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
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or the vibrational transitions of a material, to the spatially confined electromagnetic field of an optical resonator. Most importantly, this occurs even in the dark because the coupling involves the zero-point
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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ
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the first mutations in the NLGN-NRXN-SHANK pathway, which has a key role in synapse formation within the brain. Our results highlight the genetic heterogeneity of autism, but also point at common biological