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or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation strategies. These projects aim to integrate epidemiology
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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immune assays. The research will focus on developing and optimizing novel gene modified T-cells against solid tumors. The postdoctoral associate PhD will work directly with the PI. Job Duties Conducts pre
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading
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with the PI and research team to interpret findings and optimize methodologies. Attend and present at scientific conferences. Knowledge – Skills – Abilities Programming experience is required. Prior
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
focuses on optimizing rehabilitation, exercise, and lifestyle interventions to preserve function and delay disability in adults with rheumatic and musculoskeletal diseases, such as rheumatoid arthritis and
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. Pay Range: 75,000-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals