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). Located on the Campus Triolet of the University of Montpellier, IMAG is one of the gateways to mathematics in “Occitanie-est” Region. It comprises about 170 members and is structured into 4 research teams
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materials based on π‑conjugated small molecules and their solids. The work focuses on establishing robust structure–property–performance relationships that guide molecular and materials design. The researcher
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bioactives. L'introduction à la fois d'azote et de silicium dans ces structures hétérocycliques ouvre des possibilités extraordinaires, combinant les avantages bien établis des hétérocycles azatiés avec les
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be primarily conducted within the Structural Metallurgy Group at IRCP, Chimie-Paristech, Université PSL, under the supervision of Dr. Fan Sun, co-PI of the project. The researcher will work in close
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-researchers, 50 engineers, technicians, and administrative staff, and 100 non-permanent staff, including 60 doctoral students. CEREGE is structured into four teams and several analytical and technical platforms
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ethology, chemistry and subatomic physics) develop very high level programs based on scientific instrumentation. The IPHC is structured into 4 departments and has a total staff of 393 staff including 257
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comprises about 170 members and is structured into 4 research teams : Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and
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, extraction, compound purification (flash chromatography, HPLC), structural identification of compounds (NMR, MS), metabolomics. Additional knowledge of R and/or Python is an asset. Cross-disciplinary skills
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variety of structures and associated photophysical properties. This will enable the emergence of innovative materials combining intrinsic luminescence with sensitivity to external stimuli (temperature
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. The objective is to extract structural and metabolic biomarkers enabling precise spatio-temporal modeling of tumor evolution, for diagnosis, prognosis and personalized therapeutic follow-up. Develop deep learning