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skills in general and a taste for meticulousness are essential. In parallel, interest for soft matter concepts and modelling will be of help to interpret the data. Experience in data analysis (including
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biology, biological data science, multi-omics, imaging, modelling, and AI-driven approaches PhD candidates will benefit from: Access to state-of-the-art experimental and computational platforms Strong
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9 Feb 2026 Job Information Organisation/Company Université Gustave Eiffel Research Field Computer science » Modelling tools Engineering » Electrical engineering Researcher Profile First Stage
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» Standardisation of technologies Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Mar 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary
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, in CPDM Laboratory (Physico-Chemical Behaviour and Material Durability) and EMGCU (Experimentation and Modelling in Civil and Urban Engineering), in MAST Division (Materials and Structures
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this context, we are seeking to attract talented young researchers willing to develop and apply new computational models/methods based on multi-omics data integration in relation to cardiovascular, immunerelated
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of the grain assembly (e.g. frictional bridging, distributed damage). • (O3) Link microscale dissipation to macroscopic Gc by combining micro-tests, in situ tomography, and modeling. • (O4) Improve tensile
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications The candidate must hold a PhD in organic chemistry or medicinal chemistry. Experience at the interface between both molecular