330 algorithm-development "https:" "Simons Foundation" Postdoctoral positions in France
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for developing materials and photocatalytic conditions for selective reactions, such as green hydrogen production or demethylation reactions from biomass. Two approaches will be explored: heterogeneous
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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? No Offer Description - work environment: The Institut d’Electronique et des Systèmes (IES) is a joint research unit from U. Montpellier and CNRS. The nanoMIR research group (https
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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controlling NPC assembly and their involvement in cancer cell proliferation. - He/she will design, plan, and carry out experiments, analyze and interpret the data obtained, and contribute to the development
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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), Eq3 (3D liver models), and Eq4 (Germany, redox chemistry, and proteomics). The objectives are to: - Develop a plasma jet to treat pathological liver tissue in situ, and analyze the physicochemical
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lattice models. We welcome applications of candidates from a wide range of backgrounds from theoretical physics to pure mathematics. Candidates with experience in tensor network algorithms, rigorous