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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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. - Development of an ICP-MS/MS measurement method (choice of reaction/collision gas, optimization of measurement parameters, correction of mass bias, etc.) to eliminate interferents and achieve the best possible
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understanding of the interactions between light and photoactivatable compounds to design targeted and optimized therapeutic treatment. With the aim of guiding compound selection, optimizing treatment and
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RNAvac project (2023-2027), which aims to optimize mRNA vaccine formulations using preclinical models. Responsibilities include: - Developing and implementing experimental protocols in biology and animal
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6 Mar 2025 Job Information Organisation/Company Nantes Université Department CEISAM Research Field Chemistry » Analytical chemistry Researcher Profile Recognised Researcher (R2) Positions PhD
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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their formation, and the process optimization in relation to the target applications. Another key challenge relies on the source of energy for the graphitization. The conventional heating during the catalytic
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noxious VOCs; ii) MOFs to mitigate NOx in real scenarios; iii) MOFs to control relative humidity upon optimizing energy consumption for regeneration, iv) Predictive multi-scale modelling to forecast
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) acquisition geometries. https://seiscope2.osug.fr/ You'll be part of a team of 14 people (2 permanent lecturers, 1 emeritus lecturer, 1 permanent research engineer, 5 PhD students, 3 post-docs and 2 interns
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of numerical precision/instabilities. Different physical configurations of NEMO, either local or global, will be studied. We also plan to optimize the threshold values in NEMO, taking into account the various