135 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at Zintellect in United States
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students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
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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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: Research activities will be conducted in BSL-2+ laboratories. Learning Objectives: Under the guidance of a mentor, the participant will gain experience in: Animal studies: mouse and large animal inoculation
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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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to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity
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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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of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
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, focusing on gene editing and molecular breeding techniques. While flowering in sugarcane is an undesirable trait for Florida farmers, it plays a crucial role in crossing and breeding. Through this learning
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an enhanced user interface that incorporates various functionalities to support adverse event analysis. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology
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. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology, pharmacovigilance, and drug safety through this learning opportunity. You will receive mentorship by experts