332 development "https:" "https:" "https:" "University of Houston" Postdoctoral positions in France
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will grow on UPPA’s five interdisciplinary missions, linked to the UN’s sustainable development goals.These missions are designe to transcend traditional disciplinary boundaries, encouraging cross
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Behavior" team headed by François Tronche and Sébastien Parnaudeau. He/she will develop a project centered on microglia in relation to stress-related behavioral and cognitive adaptations. The specific aims
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for developing materials and photocatalytic conditions for selective reactions, such as green hydrogen production or demethylation reactions from biomass. Two approaches will be explored: heterogeneous
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
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this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
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? No Offer Description - work environment: The Institut d’Electronique et des Systèmes (IES) is a joint research unit from U. Montpellier and CNRS. The nanoMIR research group (https
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high