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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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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
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Sciences (1 ) Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1 ) Engineering (2 ) Environmental and Marine Sciences (2 ) Life Health and Medical Sciences (3
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of Contact Rachel Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree. Discipline(s): Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1
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60 months or currently pursuing. Discipline(s): Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (5 ) Engineering (1 ) Environmental and Marine Sciences (1
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. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27
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response to military relevant stressors, and in identifying nutritional countermeasures. Various methods including molecular assay techniques (e.g. qPCR, ELISA, confocal microscopy, -omics, immunoblots
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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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or deliberate attack, CDC fights disease and supports communities and citizens to do the same. Research Project: This opportunity focuses on the study and application of artificial intelligence and machine
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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