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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
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projects that rely on computational modeling and machine learning approaches. The postdoc will help bring these projects to completion, carry out the required validations, and take the lead in preparing
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participation in such a project. - Be fluent in French and English. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5213-DELDAL-033/Default.aspx Work Location(s) Number of offers
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writing skills, fluent in English Programming under Linux environment Specific Requirements Experience in large-eddy simulations or radiation modelling in complex canopy Rigorous, autonomous, creative and
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postdoctoral experience (up to 2 years). The successful candidate is expected to work on the phenomenology of the physics beyond the Standard Model, including flavor physics (hadronic and leptonic), as
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. It is expected that the data obtained will ultimately make it possible to the development of a new application-oriented model. We are looking for a strong postdoctoral fellow who will be able to become
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(MATLAB, PYTHON) The candidate must be either fluent in English or in French LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent Research FieldEngineering » Chemical engineeringYears of Research
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sector Where to apply Website https://institutminestelecom.recruitee.com/l/en/o/post-doctorante-ou-post-docto… Requirements Research FieldComputer science » Modelling toolsEducation LevelPhD or equivalent
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 2 months ago
representations of the vascular trees (and hence propose modality agnostic detection/characterization methods). • A full synthetic model of the vasculature will be exploited to train the neural networks (see