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at the optimization of a novel class of non-lipidic synthetic delivery systems for RNA therapeutics Identification and development of suitable analytical methods Work within the team to evaluate and optimize
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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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. Thevenard at INSP (Paris), M. Belmeguenai at LSPM (Villetaneuse), N. Reyren at LAF (Palaiseau), Thibaut Devolder at C2N (Saclay), and D. Lacour at IJL (Nancy). Position: The post-doc will (i) optimize
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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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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schemes for their discretization Knowledge of numerical optimization Knowledge of Python, Matlab and FOTRAN90 compiled code, use of high-performance parallel computing servers Ability to synthesize and
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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
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additive manufacturing in space -Towards optimal automated multi-fidelity surrogate models for shape optimization -Control of floating wind farms -Frequency regulation and stability of future power systems
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on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB
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) nanoLC-MS/MS systems. - Evaluate innovative nano-chromatography systems to enhance analysis sensitivity while increasing throughput. - Optimize MS/MS data processing methods and statistical analyses