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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of
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, enabled through digital health technologies in Africa (Kenya, Uganda + more). The Trainee will be working on a program with over 15+ years (Smart Discharges Child, Smart Discharges Mom&Baby, Smart Triage
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, applied mathematics, statistics, computer science, strong gravity, condensed matter theory, particle physics, quantum fields & strings, quantum gravity, quantum foundations, quantum Appl Deadline: 2026/01
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More Topics #jobs The Transformative Quantum Technologies (TQT) program at the University of Waterloo has several openings for Postdoctoral Fellowships (PDFs). These prestigious positions
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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More Topics #jobs The Transformative Quantum Technologies (TQT) program at the University of Waterloo has several openings for Postdoctoral Fellowships (PDFs). These prestigious positions
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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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the PRODIGY program Requirements: ● a PhD in physical oceanography, or related field, by the time of appointment ● experience working with ocean observations, or a keen willingness to learn; note specific
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academic disciplines are encouraged to apply, including—but not limited to—philosophy, theology, psychology, sociology, political science, law, literature, and the arts. The program is open to U.S. and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks