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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 7 days ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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Website https://bit.ly/3HDLRTw Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in in Computational Sciences
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, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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for install across the Network over the next 3 years, replacing mostly Elekta linacs. Cloud-based Aria and Eclipse are presently in process of replacing Mosaiq and Pinnacle. Brianlab ExacTrac with surface
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clinicians and leaders for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located
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position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
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assistants in experimental or analytical workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence