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University of California, Los Angeles | Beverly Hills, California | United States | about 13 hours ago
of Radiological Sciences. Major job functions to include but not limited to the registration/arrival of patients, obtaining clinical information pertinent to the scheduled exams and the collection of cash
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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availability preferred, always with advanced notice. Discretion when working with confidential university information and the ability to meet deadlines are a must.
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• Strong experience with computer vision (CV) or natural language processing (NLP) using deep learning • Experience with patient health data • Experience managing large-scale databases and data repositories
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). The Radiology Service provides multiple services for large and small animals, delivering high-quality diagnostic images in a safe environment. We currently provide imaging studies that utilize radiography
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the association between GLP1R gene variants and renal outcomes—such as diabetic nephropathy, glomerular filtration rate (eGFR), and albuminuria—using large-scale biobank and clinical datasets. This is a remote
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are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 4 days ago
large, complex health datasets using R Strong applied statistical and/or machine learning skills, with the ability to select and implement appropriate methods for health data and interpret results
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and data analysis methods Creation of systems for managing, analyzing, and visualizing large datasets Application of machine learning and AI techniques to domain-specific challenges Collaboration with