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at the MMSB laboratory focuses primarily on microbiology and structural biology. Within MMSB, the MOMS team is primarily interested in the structure and function of biological membranes, using bioinformatics
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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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. 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
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UK from the perspective of their effects on the health of union activists and staff representatives, conducting and analyzing semi-structured interviews, and designing an original questionnaire
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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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fabricaed by molecular beam epitaxy - the design and clean-room fabrication of surface acoustic wave devices - the characterization of the structural and magnetic properties of the thin films (by XRD, VSM
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Additional Information Eligibility criteria -PhD in atomic and molecular physics, chemical physics, or quantum chemistry. -Strong experience in numerical methods, electronic structure theory, and/or time
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). SAHA aims to study the structuring of a public action sector in mental health in the context of war and multi-sectoral crises that Lebanon has been experiencing in recent years. The SAHA project has two
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(Lebanon). The scientific coordinator of the project is Sahar Aurore Saeidnia. SAHA aims to study the structuring of a public action sector in mental health in the context of war and multi-sectoral crises
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community structure. Collaborations will be established with Spanish and Andorran partners involved in the project, as well as with local stakeholders. • Bioinformatic analyses to characterize the taxonomic