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software, including design tools, CAD drafting, information systems, construction management software, computerized maintenance management systems (CMMS), hydraulic modeling, Bluebeam, and the full Microsoft
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the scientific supervision of Professor José Carlos Magalhães Duque da Fonseca. Grant duration: Initial duration of 3 months, with the predicted starting date in april 2026, on an exclusive basis eventually
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
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applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher with strong expertise in fault detection, diagnostics (FDD), and preventative/predictive maintenance
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, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
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kidney disease in adults: assessment and management. Clinical guideline [CG182]. Tangri N, Stephens LA, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
neurological disorders with adult and/or pediatric patients, and with predictive testing for variable onset disorders. They should be comfortable seeing patients independently and using a variety of practice
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response using large public datasets and modern predictive modeling Integrate CIN signatures with functional dependency resources to shortlist candidate vulnerabilities for validation Contribute to open
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information from clinical notes ? Implementing machine learning models for prediction and classification tasks in cardiovascular populations ? Cleaning, preparing, and managing large healthcare datasets