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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
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Research Infrastructure? No Offer Description The photovoltaics team of the GeePs (Group of Electrical Engineering, Paris) laboratory, is hiring a postdoctoral researcher with experience in numerical
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. Project details: “NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant Agreement No. 101115663, funded by the European Union, ERC Synergy Grant. CUP: D43C23003890006 Further information: https
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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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selection of relevant harmonics. While frequency methods are oftentimes considered more efficient than numerical time integration methods, the computational cost and complexity increases dramatically when a
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on developing new methods and applications of metabolite profiling using a combination of mass spectrometry (MS) and NMR platforms which provide a broad-based approach for biomarker discovery and systems biology
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
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conduct researches of transport phenomena and dynamics of chemical reaction using the approaches of active matter, nonequilibrium statistical physics, theory/mathematical calculation method of nonlinear
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until the grant's contract is done; proven previous experience with articles published in first quartile journals (Q1) on the Discontinuous Galerkin Finite Element Method (DGFEM); experience implementing
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computing, applied mathematics, computational physics, or another relevant discipline is required, Other requirements Required qualifications include strong skills in numerical method development