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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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complex analytical studies, interpreting results, and managing large datasets using statistical programming languages such as SAS, SQL, R, or Python. Experience with data visualization tools such as
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python, R, and SQL) to compile, clean, organize, and maintain
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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous
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knowledge of the programming languages Python and C++, especially in the context of managing hardware components Preference will be given to candidates with: - experience in developing, installing and
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working in a collaborative environment as well as independently Programming, scripting, and/or web development experience using JavaScript, Java, C#, ASP.Net, PowerShell, Python or a combination
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to apply Website https://recrutement.univ-angers.fr/poste/nga4edph0o-ingenieuree-de-recherche-en… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications
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. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code