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Luxembourg Institute of Science and Technology (LIST) | Esches, Picardie | France | about 1 hour ago
design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You’ll be
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preceding the application deadline . Periods of stay as a tourist, refugee, or time spent in national service, are not considered as residency The application must be submitted on the website https
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. 2022, 87, 9699-9713. https://doi.org/10.1021/acs.joc.2c00748 . Bruneau, V. et al. Chem. Eur. J. 2026, corrected proofs: https://doi.org/10.1002/chem.71696 Where to apply E-mail michel.boisbrun
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and application of the AgroC agroecosystem model for simulating water, carbon, nutrient and energy fluxes at the field and farm scale Integration of AgroC with the Parallel Data Assimilation Framework
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individuals, communities, and cultures that make us who we are. We’d love to have you join us! Read more about the department here: https://www.en.bio.aau.dk/ Qualification requirements Appointment as
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infer excitation conditions and quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 18 days ago
optimising quantum computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach
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Inria, the French national research institute for the digital sciences | Grenoble, Rhône-Alpes | France | 18 days ago
algorithms, participate in the development and maintenance of the PEPit ( https://pepit.readthedocs.io/ ) software package, including adding functionalities related to parallel optimization
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 18 days ago
-pipeline, constituted from the [killMS]( https://github.com/saopicc/killMS ) stage and the [DDFacet]( https://github.com/saopicc/DDFacet ) stage, both developed in particular by Cyril Tasse from the Paris
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lake and river water levels. In parallel, socio-environmental signals on water-related extremes and pressures will be extracted using natural language processing and text-mining techniques, drawing