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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied
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with operating agricultural and/or processing equipment and analytical equipment; Computer skills and experience using multiple software packages. Point of Contact Janeen Eligibility Requirements
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measurements and remote sensing data products, in a unified data processing workflow to recover models of subsurface water content variation. Learn about the use of physics-informed neural networks developed by
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received within the last 6 month(s). Minimum Overall GPA: 3.50 Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (2 ) Life Health and Medical Sciences (13
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Must be a U.S. Citizen Preferred Skills: Experience with MATLAB Familiarity with emerging technologies including instrumentation, computer modeling & simulation (e.g. Matlab, CFD, and/or other), and the
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for extended periods, and may require occasional lifting of field gear containers weighing up to 40 pounds. Data entry in the field utilizes rugged computer tablets and QGIS software. Housing costs and round
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) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (16 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will be part of the research team learning about developing recombinant Marek's
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to multidisciplinary research aimed at advancing military medicine. What will I be doing? This opportunity offers a hands-on learning experience within a collaborative research environment focused on combat casualty