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Apply now to Postdoctoral Scholar - Agrivoltaics systems analysis and modeling Job #JPF03056 Environmental Studies Program / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
of Mathematics, which benefits from extensive experimental and computational facilities and hosts several research groups in related areas, bringing together a broad and complementary set of skills (https
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any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images
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any previous postdoctoral experience. At the time of their appointment, candidates must have a Ph.D. in an applicable field such as geophysics, oceanography, computer science or engineering. The
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disorders. Key responsibilities include: (1) Develop and apply computational methods for heart failure discovery. (2) Analyze large-scale human datasets, including imaging, genetics, omics, EHR, and outcomes
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engineering support. Ongoing projects in lab include structural and functional magnetic resonance imaging (MRI) of developing children, and clinical conditions including autism, traumatic brain injury, diabetes
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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: Immediately available Group or Departmental Website: https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological...(link is external) How to Submit Application Materials: Email your
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, AI/ML, biomedical image analysis, multimodal integration, quantitative pathology, statistics, or computational modeling. Cancer Biology: Tumor microenvironment, cancer immunology, stromal/ECM biology
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data