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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision
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reporting lab activities Strong written and verbal communication skills and organizational skills Proficient use of different computer programs (Microsoft Office and lab analysis software) Strong
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: 3.70 Discipline(s): Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (5 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (2 ) Life Health and Medical
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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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, Information, and Data Sciences (7 ) Life Health and Medical Sciences (9 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application
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the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (7 ) Life Health and Medical Sciences (9 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed
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: 3.50 Discipline(s): Communications and Graphics Design (1 ) Computer, Information, and Data Sciences (1 ) Life Health and Medical Sciences (15 ) Affirmation I certify that I have not previously
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60 months or anticipated to be received by 7/31/2027 11:59:00 PM. Discipline(s): Computer, Information, and Data Sciences (3 ) Life Health and Medical Sciences (4 ) Mathematics and Statistics (1
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; Learn advanced watershed modeling approaches used to study hydrological and biogeochemical processes in agricultural systems. Gain training in improving numerical representations of key hydrological
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of the relevant fields. Preferred skills: Preferred educational background in computer sciences or related field. Any educational or work experience with agricultural data is a plus. Knowledge in computer