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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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, supervising students and joining different scientific activities in the laboratory. Research Fields Biostatistics/biological modeling. In the appointment process, special attention will be paid to research
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Optimizing the functionality of Fe2P compounds through microstructural control
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processes—to precisely control the composition, size, and distribution of these nanocatalysts. These materials, with their exceptional properties, are designed to accelerate CO₂ methanation, a critical
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energies, as well as the material and organisational constraints that weigh on the environmental assessment processes from the point of view of the actors who implement them in the investigating departments
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 2 months ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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are desirable (knowledge of R or equivalent). • Strong oral skills (for interviews), excellent writing skills (syntheses, reports), and proficiency with word-processing tools. • Ability to take initiative, adopt
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focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state
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materials such as zeolites, and the study of porous materials using operando spectroscopy. LCS thus occupies a unique position in the study and optimisation of catalytic or adsorption processes, with multiple
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system