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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work will focus on passive
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will be: * Experimental work on polymer synthesis and characterization * Supervision of interns * Participation in the scientific activities of the laboratory's two teams * Writing scientific articles
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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(Matériaux et Phénomènes Quantiques), Université Paris-Cité/CNRS. The researcher will work at CRPP (CNRS-Univ Bordeaux, www.crpp.cnrs.fr ) and could travel to MPQ for short visits. The META team has been
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characterization of nanocomposite films and interfaces. Interpret the experimental results. Highlight these results in relation to the work in the literature. Write scientific articles and communicate the results
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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decoherence - study of the influence of the initial composition of the electronic wave packet on the quantum yield of photo-conversion The work will be carried out within the CEISAM laboratory hosted by Nantes
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simulation trajectories carried out by the MOMS team. • Develop tutorials to illustrate how the various bioinformatics tools used by the team work, and share them on the team's GitHub site. Research conducted
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candidate will work with the PI of the project (André Belotto da Silva) and with the Singularity Theory group at the IMJ-PRG. Research activities in the fields of Singularity Theory, Algebraic Geometry, and
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proposed for improving the accuracy of medical diagnoses, identifying biomarkers and understanding glioma features in MRI data. The successful candidate will work in particular on : - Development of a pre