12 computer-science-programming-languages-"CNPEM" PhD positions at Nature Careers in France
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(knowing Scratch coding language or another coding language is considered an asset) Experience working with people with a developmental disorder or experience in the education sector Experience in research
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fields; orExperimental Psychology, Cognitive Science, or related disciplines In addition, the candidate should demonstrate: Experience with data processing, data analysis, programming, computational
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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international conferences; Participate in strategic planning and dissemination activities in coordination with other partners. Key Skills, Experience and Qualifications MSc (or equivalent) in Data Science
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analogues, meteorites and asteroid return samples. Research: The emergence of homochirality—particularly the dominance of left-handed (L-) amino acids in terrestrial biology—remains one of the most compelling
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Artificial Intelligence (applied mathematics, computer science, etc.), or a thesis defense scheduled for 2025. • Research contributions in deep learning, statistical learning, natural language processing (NLP
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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publications, conferences, and public-facing digital platforms Contribute to the research project's open science and reproducibility efforts through documentation, GitHub repositories, and notebooks For further
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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets