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Deadline: October 29, 2025 View solicitation for details Fellowship Program Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) | NSF 23-603 View guidelines NSF 23-603 Supports postdoctoral
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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Degree received within the last 60 months or currently pursuing. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences
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For 2026-27, SLMath will appoint 6-8 Postdoctoral Fellowships to each of the programs. Fellowship applications are reviewed by program organizers and the Broadening Participation Advisory Committee
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Design (2 ) Computer, Information, and Data Sciences (16 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45
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training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must
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until June 2027 • Location: Macquarie University (Wallumattagal Campus, North Ryde) Join a leading ecology and evolutionary biology research team to uncover the role of ecological interaction networks as