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therapeutic strategies. - DNA-protéines complexes modeling - Molecular dynamics simulations of biomolecules - Enhanced sampling techniques (Steered MD, Gaussian Accelerated MD) - HPC resources use - Scientific
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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reaction calculations. The candidate will then participate in a systematic assessment of the range of validity and limitations of this approach when moving toward heavier systems and more complex reaction
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, nanostructuring, porosity) and their surface/interface physico-chemistry (functionalization, topography) in order to modulate or optimize their properties. The heterogeneous and complex structure of the studied
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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intelligence tools for data processing and identifying correlations between non-invasive signatures and electrical performance. Interpersonal skills:: -Rigor and methodology in designing and applying complex
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. - Previous experience in one or more areas of chemoinformatics, drug design and structural biology of protein-ligand complexes. - Proficiency in tools and concepts related to molecular modelling (AlphaFold and
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and protein complexes, pull down - Omics data analysis (RNAseq, ChIPseq, genomic DNA-seq, etc.) - Presenting results in writing and orally - Ensuring the traceability and reliability of results
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communication skills, ability to translate complex ideas into accessible concepts and language tailored to different audiences ■ Fluency in English, both written and spoken Soft skills: ■ Autonomy, rigor, and
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures