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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
projects DeepGreen and CAMELIA, which are dedicated to developing hardware and software technologies for the acceleration of Artificial Intelligence workloads. Under the DeepGreen project, work focuses on
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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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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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to participate in promoting the branch. Duties may also include developing capstone practical work for the "Bioprocesses and Renewable Resources," "Energy Efficiency and Renewable Energies" and "Eco
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be expected to contribute to teaching activities (lectures, tutorials, practical sessions and project workshops), as well as to the pedagogical design and development of the Department’s courses
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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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of the multidisciplinary TrAI-SOC project, coordinated in collaboration with UGA's CERAG laboratory. SocSIM-K: https://lig-socsim-k.imag.fr/ LIG: https://www.liglab.fr/en Activities Design the game and define all of its
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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