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Field
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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, laboratory measurements, data analysis, prototype development, publications, and proposal development, while working collaboratively with faculty, students, and external research partners. In accordance with
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
of Engineering (Col) Work Unit Mechanical Engineering and Engineering Science Work Location Duke Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40
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-generation optical microscopy and spectroscopy methods to uncover the physical principles governing immune-cell function. The laboratory brings together technology development at the Rosalind Franklin
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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
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) Rapid City Posting Text The Physics Department at South Dakota Mines invites applications for a postdoctoral researcher position to work on the germanium-based science and technology advancement research
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models and agents: how to consolidate and transfer physical knowledge into learning systems for the real world. Physics engines and physics-informed neural networks are powerful, but the open problems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post