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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full
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/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
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of patients diagnosed with FTD, educational attainment and socioeconomic status, years of schooling and university education, time to consultation and diagnostic delay, misdiagnoses prior to an FTD diagnosis
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» PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria Education: A PhD in Mathematics or Physics (or a related discipline relevant to the project) familiar with the tools
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of Research ExperienceNone Additional Information Eligibility criteria Education - PhD in education, cognitive psychology, occupational psychology/ergonomics, educational technology, or a related field. - Dual
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- Co-constructing solutions to improve the concept through collective discussions, both through internal (the 3 partners) and external collaborations (workshop, teaching projects, external collaborations