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a generative AI model capable of predicting bird plumage based on images of their habitats. - Test the hypothesis that color patterns generated from images of a new habitat more closely resemble those
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light, and optimize processes to produce them. The fellow will build the framework to model the processes at play and analyse their energy/entropy costs. She/he will work in close collaboration with
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the LPMMC (Grenoble, France), the company EDF and the startups Alice&Bob and Quandela. Role of the research fellow- The fellow will build the framework to model the processes at play and analyse their energy
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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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/liquid extraction, a separation process that enables metals to be recycled. The systems studied will be complex media (Deep Eutectic Solvents DES, Ionic Liquids) which solubilize metal ions in specific
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FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria - The candidate must have a PhD in the field of organic chemistry for
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of exapted TE genes. To be eligible, the candidate must earn a PhD with less than 8 year of research experience in European labs, and has not spent more than 12 months in France over the last three years
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Information Eligibility criteria MSCA European Postdoctoral Fellowships eligibilty criteria Selection process First stage selection on CV, second stage interview with supervisors Additional comments The postdoc