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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | 9 days ago
activities within the MAGE team (Modelling and Analysis of the Genotype-Environment interaction) of the LEPSE joint research unit. You will draw on the methods, tools, and platforms developed within LEPSE (e.g
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of educational technologies and tools. Minimum Education and Experience Bachelor’s degree in instructional technology, education, communications, information technology, curriculum design or related field; three
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Summary: The Electrical and Computer Engineering Lab Technician provides technical support and assistance with integrated circuit design tools, infrastructure maintenance, simulation, test, and verification
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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Carlo simulation codes · Experience with collaborative software development tools (e.g., Git) · Interest in mentoring junior scientists Application Instructions Interested candidates should submit
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. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the
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tools supporting leadership oversight. Prepare a long‑term stabilization and modernization plan with priorities and resource requirements. Minimum Qualifications • Bachelor’s degree in Accounting, Finance
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technologies, adult learning methods, and related tools and technologies. With approval, manages internal and external financial transactions in coordination with the HR Operations Associate, including
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand