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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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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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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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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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Baku State University, Mathematics Research Lab Position ID: 3444 -TTPOSTDOC [#26222] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Baku, Baku, Azerbaijan [map
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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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to the general public Research proposal writing, funding acquisition Other administrative duties, for example related to the organization of a workshop, etc. Your profile PhD in Mathematics, Theoretical
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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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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