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degree involving CFD, physics and/or numerical modelling Specific Requirements Programming skills (Python, C++) LanguagesENGLISHLevelExcellent Additional Information Benefits IFP Energies nouvelles is a
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University of California Agriculture and Natural Resources | Susanville, California | United States | 4 days ago
of educational workshops and short courses, field demonstrations, and farm and site visits. The Advisor is expected to collaborate with other 4-H personnel in implementation of all delivery models, including in
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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practical skills in numerical modelling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5510-PETGRI-001/Default.aspx Work Location(s) Number of offers available1Company
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. The ability http://intra:82/jpn/employ/saiyou/pdf/3_icharm.pdf [Work content and job description] (1) Development of an integrated hydrological model as part of the main research project “Development of Support
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Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
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meteorological/climate forcings of the hydrogeological systems propagates in a hydrological conceptual model and generate incertitude in the low flow estimations statistics? [2] How a dedicated optimisation
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time and competitive base compensation are provided. Opportunities to earn additional income through a productivity-based incentive model are readily available. These positions are benefits-eligible
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scholarly activity. Academic rank and compensation are dependent upon qualifications. Opportunities to earn additional income through a productivity-based incentive model are available. These positions
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better