21 machine-learning-phd Fellowship positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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is expected that the postdoc in this position will seek funding (e.g., an NIH NRSA award) for continuing the position after the first year. Applicants must have completed the PhD by the date
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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fellowships at Harvard University for recent PhDs who are pursuing independent research on Old World prehistory. ASPR Junior Fellows are invited to offer one course in the second year of their appointment in a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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research fellowships at Harvard University for recent PhDs who are pursuing independent research on Old World prehistory. ASPR Junior Fellows are invited to offer one course in the second year of
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engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Country Portugal Application Deadline 26 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full
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: A PhD or near completion in Economics, Economic Geography or a related field. If near completion, final submission of a PhD must take place before 1st of July 2026 High level analytical capability
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in