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role in our everyday behaviour. Having a belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought
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at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis, particularly in the context
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water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
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hearing and deafness. Qualifications A PhD in molecular biology, genetics, epigenetics or related fields is required Two years of postdoctoral experience in these scientific fields is strongly preferred
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scienceYears of Research ExperienceNone Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in cognitive science, psychology or a
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-world applications and labour market needs Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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Deep Learning-type methods. The focus will be on geodesic methods, the search for paths of minimum length according to an adapted metric, imposing for example a penalization of the curvature. In addition
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI