169 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Zintellect in United States
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also explore data integration techniques, apply machine learning approaches, and utilize high-performance computing resources to contribute to achieving the project objectives. Learning Objectives: With
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the research and critical thinking is expected for this opportunity. Learning Objectives: The participant will engage in a comprehensive, hands-on learning experience designed to build expertise in laboratory
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information needed to inform management of the disease. Specific areas of investigation will be based upon the participant’s expertise and interest. Learning Objectives: Under the guidance of a mentor, the
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invaluable hands-on experience and develop advanced skills while working closely with the Research Entomologist throughout all phases of the research process. This opportunity will allow you to learn and
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projects related to comparative effectiveness and patient-centered outcomes research, all in support of Office of the Secretary priorities led by ASPE. Learning Objectives: Under the guidance of a mentor
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traits in oats. Participate in data collection and genetic analysis of FHB resistance. Write manuscripts and present research at scientific conferences. Learning Objectives: The participant will receive
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machine learning methods for disease quantification. Through the course of the project, they will gain in-depth knowledge of issues and the latest research at the junction of plant pathology and plant
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rewarding component of the fellowship. Learning Objectives: As part of the fellowship, the selected candidate will gain hands-on experience and develop expertise in key areas of plant breeding and genomics
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mission is to help build America's airpower, by educating military and civilian Airmen to innovatively accomplish the Air Force's core missions, in support of joint operations, more effectively, efficiently
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selection. This research is conducted in a collaborative environment within the lab and larger unit, so the participant will learn how to perform both independently in the field and as part of larger teams