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climatic conditions, using machine learning approaches based on isotopic data. SSIAs for δ13C, δ15N and δ34S in dentin collagen and δ66Zn in enamel to reconstruct the evolution of seasonal habitats and the
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learning new techniques and finding answers to problems. You want to take advantage of the opportunity to do your PhD in two different countries and learn from different cultures and expertise. Where
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strong interest in computer science (software development, machine learning techniques, etc.) is desirable. · Applicants must have a maximum of 3 years of research experience after the PhD. · Language
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knowledge of French is desirable (or willing to learn) Additional Information Work Location(s) Number of offers available1Company/InstituteIMT Nord EuropeCountryFranceCityDouaiGeofield STATUS: EXPIRED X
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. The student will be closely supervised and will acquire theoretical and experimental skills in optomechanics, optical levitation, quantum mechanics, and quantum optics. The candidate will focus
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conditions and validate the developed models. Candidate Profile: We are looking for a candidate with a background in numerical simulation, who is also interested in learning experimental electrochemistry
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has previously demonstrated that the insula and the vmPFC plays opponent roles during learning (Gueguen et al., 2021), mood fluctuations and how they alter risky-decision-making (Cecchi et al., 2022
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has previously demonstrated that the insula and the vmPFC plays opponent roles during learning (Gueguen et al., 2021), mood fluctuations and how they alter risky-decision-making (Cecchi et al., 2022
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has previously demonstrated that the insula and the vmPFC plays opponent roles during learning (Gueguen et al., 2021), mood fluctuations and how they alter risky-decision-making (Cecchi et al., 2022
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has previously demonstrated that the insula and the vmPFC plays opponent roles during learning (Gueguen et al., 2021), mood fluctuations and how they alter risky-decision-making (Cecchi et al., 2022