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dispersal. To do so, she/he will use approaches from fluid mechanics. The postdoc will develop kinematic models of the splash in the limit where inertia dominates. She/he will use approaches from differential
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]) will thus enable massive reductions in GHG emissions [4]. For instance, GaN-based converter technologies alone could enable global savings of several billion tons of GHG in the next 15 years (e.g., 1
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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genetics - Coding eco-evolutionary models - Data analysis - Interpreting and exploiting results - Writing scientific publications - Oral presentations of results - Working as a team and independently Website
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has successfully defended a PhD in the field of evolutionary genomics. They are proficient in one or more programming languages and capable of implementing cutting-edge methods to characterize
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be responsible for preparing and characterising bio-based
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the measurements to be performed. - Determine the isotopic compositions (δ13C and δ18O) of ostracod larval capsules using IRMS. • Organize the dataset: - Verify and update the age models of the cores. - Integrate
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» BiologyYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge of molecular and cellular biology (PhD level in science). Expertise in the neuromuscular field is desirable. Working
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join the OH (Oxidation of Hydrocarbons) team and et will mainly perform combustion experiments on terpenes and model fuels in the laboratory ICARE-CNRS (Institute of Combustion, Aerothermics, Reactivity
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification