614 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "IMEC" positions at CNRS
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Where to apply Website https://emploi.cnrs.fr
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interface. - Deployment, compilation, and execution of the ECCO-Darwin model on the supercomputer - Numerical developments on the ECCO-Darwin model code - Analysis of numerical model outputs - Processing and
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Energy Transfer) - Genetic code expansion strategy to specifically label proteins - Image analysis - Programming - Wet lab activities (biochemistry, cell and molecular biology) Our group at the Center
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7258-STECOU-010/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears
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) - bibliographic survey (secondary task) - participating in the management of the laboratory (secondary task) Frame of the contract : the LHFA (https://www.lhfa.cnrs.fr/ ) is an Unité Mixte CNRS-Université de
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible