205 evolution "https:" "https:" "https:" "Universidade do Minho CTAC" Postdoctoral positions at CNRS
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; https://cordis.europa.eu/project/id/101087562 ), the postdoctoral researcher will be responsible for characterizing metal-rich meteorites, particularly primitive achondrites, using scanning electron
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batteries have enabled the development of portable electronics and electric vehicles, due to their great gravimetric and volumetric energy densities. The tremendous success of these systems and the
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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between contaminants, • the potential role of PFAS and antibiotics in the selection of antibiotic resistance genes (ARGs). The successful candidate will contribute to the development of an integrated urban
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joint research unit (UMR) that operates the CCU experimental platform. More informations about the CLLE Laboratory: http://clle.univ-tlse2.fr/ More informations on the project: https://anr.fr/Projet-ANR
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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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in physics analysis and detector development has also been directed to physics studies for the FCC-ee project and FCC detector R&D, especially in the development of the future ALLEGRO liquefied noble
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the job funded 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 team 'Evolution
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained