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Position Details Position Information Requisition Number Stu04943P Home Org Name Clinical Sciences Division Name College of Veterinary Medicine Position Title Student Worker - Large Animal Hospital
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Position Details Position Information Requisition Number Stu04944P Home Org Name Clinical Sciences Division Name College of Veterinary Medicine Position Title Student Worker - JTV Large Animal
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Large Animal Clinical Sciences Location Canyon, Tx Open Date 7/17/2025 Position ID 165370 Description The Department of Large Animal Clinical Sciences in the College of Veterinary Medicine
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large scale programme of neonatal research in conjunction with the Evelina London Children’s Hospital. The post is 10 PA, with 5 academic Pas, 4 direct clinical care, and 1 supporting professional
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intern, you will join an experienced Clinical Trial and Data Management team to support the Division’s work on the development and delivery of complex intervention evaluations. You will work on a research
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George Washington University | Washington, District of Columbia | United States | about 20 hours ago
can be found at https://careers.gwdocs.com/benefits . Other Information: Special Instructions to Applicants: To be considered, please complete an online faculty application and upload a curriculum vitae
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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6 Jan 2026 Job Information Organisation/Company Ben Gurion University Department Clinical Biochemistry and Pharmacology Research Field Neurosciences » Neurobiology Researcher Profile First Stage
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). Incumbent will work closely with Senior Epidemiologist to develop analysis plans using data from a large clinical patient cohort. Ideal candidates will have expertise in designing and conducting
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical