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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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Postdoctoral Research Associate ( Job Number: 25000280) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: Up to 24 months Contracted Hours
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain
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metamaterials inspired by the vertebral column of a hero shrew spine. You are required to hold, or about to obtain, a PhD (or equivalent) in physics, engineering, or applied mathematics. The successful applicant
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in computational data sciences and engineering, applied mathematics, geography, statistics, computer
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meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential that you have the ability to conduct independent scientific
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matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https://puwebp.princeton.edu/AcadHire
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of virus evolution into mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis
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A Post-Doctoral Research Associate post is available in the Connectomics Group directed by Greg Jefferis in the Department of Zoology at the University of Cambridge. Greg Jefferis and Elizabeth Marin in Cambridge together with Wei Lee (Harvard Medical School) and Meg Younger (Boston University)...
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non