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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
research, industry, or translational biomedical AI. Minimum Education and Experience Requirements A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
research, industry, or translational biomedical AI. Minimum Education and Experience Requirements A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer
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Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular
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or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications MD, JD, PhD, or equivalent doctoral degree in bioethics, philosophy, law, public health
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
Biological sciences » Biology Engineering » Mechanical engineering Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 25 Sep 2026
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Artificial Intelligence Computational Behavioral Science Data Science Biomedical Engineering Computational Psychology Related quantitative disciplines Demonstrated ability to conduct independent research and
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inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences
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. Criteria of the candidate: PhD in the subject discipline with a relevant experience as postdoctoral researcher. Prove ability to perform multidisciplinary research and contribute to funded research programs
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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candidate who has a strong quantitative background, with a PhD in Computational Mathematics, Applied Mathematics, Computational Mechanics, Geosciences, Acoustics or Simulation engineering. The candidate