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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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to formulate and lead a research programme that will deliver innovative, world-class science in molecular host-microbes interactions or a related field and good knowledge of JIC/NRP research fields, underpinning
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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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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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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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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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Posting Details Position Information Posting Number SRGV8386 Working Title POSTDOCTORAL FELLOW Number of Vacancies 2 Location Edinburg, Texas Department College of Engineering and Computer Science
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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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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