39 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at CNRS in France
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point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update
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, legible, and socially aware robots capable of engaging with humans through physical interaction. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001-ANABOL-001/Candidater.aspx Requirements
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therapeutic potential of selected DVG. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR9002-REDSMY-007/Candidater.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree
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Evolutionary Biology (LBBE - https://lbbe.univ-lyon1.fr/ ) under the direction of Carina MUGAL and co-direction of Laurent DURET. The PhD student will be provided with an office space and a laptop, and will also
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in English (written and spoken), writing skills, and communication will also be appreciated. It is necessary to apply via the portal https://emploi.cnrs.fr/ including: 1/ A curriculum vitae; 2/ A .pdf
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organization of human neural circuits. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/SNC6549-ALEPIE-005/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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within an interdisciplinary team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8190-FRAMON-011/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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-108 rue de la SanteGeofield Contact City paris Website https://ipnp.paris5.inserm.fr/ Street 24 bd du Montparnasse Postal Code 75015 E-Mail alessandra.pierani@inserm.fr STATUS: EXPIRED X (formerly