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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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programs, performing computer experiments, conducting literature review, generation of figures, and scientific writing. Training will be provided including programming, research, and scientific writing
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Proficient in the use of various computer applications Ability to work both independently and in a team environment Ability to prioritize and support multiple PD projects simultaneously Duties
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, or structural bioinformatics Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (5 ) Engineering (1
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periods at a laboratory bench or computer; use of standard laboratory instruments and personal protective equipment; fine motor tasks; movement of materials weighing up to 25 pounds; and occasional work in
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Minimum Qualifications: High School diploma or GED and some experience related to the responsibilities of the assignment(s). Skills and Knowledge: Ability to work on a personal computer including Microsoft
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Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA