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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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» 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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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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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