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. Structural, chemical, and morphological characterization (X-ray diffraction – DRX, scanning electron microscopy – SEM, transmission electron microscopy – TEM, Raman spectroscopy, Fourier transform infrared
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hold a PhD in computer science or mathematics, with computer algebra as a specialty. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7161-GOVVAN-019/Default.aspx Work Location(s
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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internationally) Requirements: The successful candidate should have the following qualifications: • PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or
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experience relevant to the project; (iii) proof of PhD completion; and (iv) the names, affiliations, and email addresses of two researchers for reference. Use the email subject: “FAPESP Postdoctoral
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
from data science to modeling. This opportunity solicits highly motivated postdoctoral candidates (including final year PhDs) to propose novel and exciting research topics in collaboration with
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email. Work Location(s) Number of offers available1Company/InstituteUniversity Côte d'Azur/ Institut de Chimie de NiceCountryFranceCityNicePostal Code06108Geofield Contact City Nice Website http://univ
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laboratory of Wendy Gilbert and will involve training and mentorship across both laboratories. Lab website: http://campuspress.yale.edu/thoreenlab . Qualifications PhD in Biology, Biochemistry or a related
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or