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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
requested or required to support the work of the research project. Minimum Education and Experience Requirements PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
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analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
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future funding. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications Willingness to work with large animal models Experience with tissue culture and primary cell
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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. The position will work with researchers to manage community programs, develop and monitor research protocols, analyze data, prepare reports and presentations, and disseminate information to a national audience
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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*Strong publication record (relative to degree timing) *Collaborative spirit in interacting with postdoctoral and PhD researchers on the team *Interest in developing and applying Large Language Models (LLM