270 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Zintellect in United States
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and Amputation Center of Excellence (EACE) is offering a postgraduate fellowship at the Uniformed Services University of the Health Sciences (USUHS) and Walter Reed National Military Medical Center
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to protect American agriculture. Learning Objectives: Under the guidance of a mentor, the fellow will learn techniques related to chemistry, molecular biology, and microscopy during the development phase and
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of their research relate to transmission dynamics of VSV and integrated pest management strategies. Learning Objectives: The fellow will have the opportunity to gain experience in entomological and aquatic field
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ecosystem services that they provide. Learning Objectives: The participant will learn to utilize ecological simulation models and to design and conduct geospatial analysis of model results to characterize
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are offered an opportunity for an independent research project using lab data to gain experience conducting ecological data analysis, manuscript writing, and publishing in peer-reviewed journals. Learning
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pathogens such as Japanese encephalitis and Rift Valley fever. Learning Objectives: The fellow will learn epidemiological techniques related to modeling parasitic and vector-borne diseases. Opportunities
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diseases such as Japanese encephalitis, Rift Valley fever, and related diseases. Learning Objectives: The fellow will have opportunities to learn field-based techniques related to survey and manage arthropod
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adverse events to inform standard ER analyses for safety and provide complementary tolerability data to improve dosage optimization strategies in oncology clinical trials. Learning Objectives: As an ORISE
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machine learning, image recognition, and prediction of damage to tree nuts from insect pests. They will also collaborate with other team members on statistical analysis of data collected as part of
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and Data Science (including machine learning and AI for defense applications) - Systems Engineering and Engineering Management - Industrial Engineering and Production Management - Mathematical Modeling