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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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part of the project, and hence skills in computations and implementation (via codes written in open source software, such as R, Python, ...) are a plus. A good knowledge of written and spoken English is
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programme Reference Number AE2025-0563 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0563
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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and fast optical modulators. - FPGA support to the team. - Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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a related technical field. Experience in R&D-intensive environments (e.g., deep tech, software, manufacturing). Excellent background on Angular, Python, Django and Celery. Familiarity with DevOps
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, electronics, etc.). The LATMOS (ATMospheres and Space Observations Laboratory) is part of the Pierre Simon Laplace Institute (http://www.latmos.ipsl.fr ) and is located on the Campus of the University
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms
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programme Reference Number AE2025-0597 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0597