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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/SNC9138-SRDOST-008/Candidater.aspx
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well as time-resolved spectroscopy. Basic programming skills are welcome as the facility is currently implemented with Python. The postdoctoral researcher will work in the Materials and Light Department
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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; - Installing, maintaining, and monitoring calculation codes on GENCI platforms and the local cluster; implementing Python tools for automating CSP/DFT calculations; - Participating in the scientific activities
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-validation, uncertainty analysis, design of experiments). Advanced proficiency in at least one programming language (Python or C++). Soft skills Ability to work independently, to operate in
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 2 months ago
Python, C/C++. • Possible co-supervision of Master’s and/or PhD’s students (on a similar topic). Where to apply E-mail Florent.Autrusseau@univ-nantes.fr Requirements Research FieldComputer scienceEducation
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr
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. Electronics and instrumentation, for piloting of experiments (python prefered). Experience with CAD design/sumulation (mechanics/optics/thermics) is a plus-value. Website for additional job details https
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken