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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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(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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Proficiency in one or more programming languages (preferably Python) Analytical, structured, and independent work style Strong written and spoken English skills Our Offer: We work on the very latest issues
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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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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utilization Programming experience in Python Advanced knowledge of geostatistics The transition of the energy system towards climate neutrality requires, particularly in industrial applications, the use
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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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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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- Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake) - Experience with development and manipulation of software code, such as Python, C, C++, Qt, JavaScript
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount