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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
Disseminate results through publications, conferences, and software tools Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09927 Requirements Skills/Qualifications Master in
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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, Python, Perl, C, C++; Basic web development using technologies such as HTML5, CSS, PHP, Python. Email to a Friend https://unmc.peopleadmin.com/postings/95721
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méthodologie proposée. Funding category: Contrat doctoral PHD title: Doctorat en Génie des Procédés et de l'Environnement PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show
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etc., please see: https://csrankings.org/#/indexai&vision&mlmining&nlp&robotics&bio&world and https://mbzuai.ac.ae/study/faculty-directory/ They will work on developing Artificial Intelligence (AI) and
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of technologies used in support of biomedical research, such as R, Python, databases (SQL), version control (Git), scientific workflow tools and HPC clusters. Cloud computing tools would be a bonus. Ability to
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Telecommunications or Computer Science. • Programming skills (preferably in Linux environments, Python, C/C++, React, TypeScript, Node.js, Next.js, D3.js or equivalent). • Knowledge of cloud computing (e.g. AWS
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially