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field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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://pubs.acs.org/doi/10.1021/acs.nanolett.1c04604 . Our project - sponsored by the UK’s Engineering and Physical Sciences Research Council – aims to improve the efficacy, efficiency and reproducibility of focused
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 250704002) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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program within a federal science agency. Mentor: The mentor for this opportunity is Mari-Vaughn Johnson (mvjohnson@usgs.gov ). If you have questions about the nature of the research please contact
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Engineering, Auburn University and participate in activities associated with the Boshell Diabetes and Metabolic Disease Research Program at Auburn University. The funded NIH project (5R01CA267170-03) is
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets