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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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order to: (i) enrich simplification corpora with discourse and emotional annotations; (ii) develop metrics for emotional fidelity and cognitive effectiveness; and (iii) validate the effects
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be carried out in collaboration with Jérôme Chanut, the lead developer of the NEMO model's numerical core at Mercator Ocean International. The NEMO Research & Development team at LOCEAN investigates
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understanding requires both new theoretical developments in nonequilibrium statistical physics and methods able to extract, from noisy and partially observed experimental data, the effective laws that govern them
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program initiated nearly a decade ago within our research group on the total synthesis of Securinega alkaloids. The aim of this postdoctoral project is to develop a concise and efficient synthetic approach
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axial conductivity of the plasma, increasing the electric field and the electron-impact ionization (see Fig. 1 for a sketch of the thrusters studied at LPP). This project will be developed in the frame
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be recruited within IJCLab (http://ijclab.in2p3.fr
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within Europe once or twice per year to attend consortium meetings. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8004-MELLEG-003/Default.aspx Requirements Research FieldChemistryEducation
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical