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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 2 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The NASA Goddard Institute for Space Studies (GISS) Impacts Group is focused on the application of Earth
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the general acts of the Institute. Eligibility Criteria: The successful candidate will hold a PhD in Art History, with demonstrated potential for excellence in research. Additional Qualifications
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models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror their in vivo counterparts. Our mission is to harness these advanced models to unravel
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to join us in shaping the future of innovative technologies. This is what we ask of you We are looking for candidates who hold a recent PhD degree in chemistry or chemical engineering. The ideal
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Number: 235300 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree, experience in molecular biology, animal science, or reproductive and
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: October, 2025 Proportion of work : 100% Workplace : Research Center for Immunology and Hematology, 1 Place de l’Hôpital, Strasbourg Desired level of education : PhD Experience required : Contact(s) for
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routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval