15 computer-science-programming-languages "INSAIT The Institute for Computer Science" PhD scholarships in France
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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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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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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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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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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SPINTEC fabrication facilities. As such, this thesis will be stationed mostly at SPINTEC in Grenoble, the PhD program being registered at Université Grenoble Alpes. You will also be part of the Vertical
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
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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