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of the following: Excel, Python, R, SAS, SPSS, SQL, Stata, or StatCrunch. In addition to focusing on the above courses, the Quantitative Tutoring Lab supports DATA-412/612. Some candidates may be
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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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researcher will be required with the following competences: ▪The ability to undertake independent research ▪Experience of data analysis in Python, MATLAB or another environment ▪European accreditation to work
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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
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(https://cobotmakerspace.org ), this new and exciting post will be a key role in providing effective support to staff and students in the School working in soft robotics. In addition, this post will be
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. Flexibility with hours and workload is key. Working ability with at least one statistical programming language (e.g., R, Python). Excellent communication skills, both oral and written. Ability to work both
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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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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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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: Assist in computationally
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days 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