117 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at Zintellect
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animal health, microbiology, and aquaculture engineering. Research Project: The participant will be involved in processes to improve fish health and the efficiency of aquaculture production. Learning
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tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in precision agriculture and
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. Description The Office of Global Research (OGR), at the National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), is seeking candidates who are interested in learning
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animal health, microbiology, and aquaculture engineering. Research Project: The participant will be involved in processes to improve fish health and the efficiency of aquaculture production. Learning
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of laboratory mentors. Activities will include computer programming related to database development, extension of the IDS graphical user interface, and integration of our crop and soil models. Database activities
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statistical analyses using a range of software tools. Learning Objectives: They will learn how plants and soils respond to genetic, environmental, and management inputs, and why understanding these interactions
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spectroradiometers. Ability to apply AI tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in
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Sensing Nuclear Science and Weapon Effects Artificial Intelligence, Machine Learning, and Cyber Security Materials, Extreme Environments, and Optical Sciences Remote Sensing and Radiation Detection
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experience with time-series data analysis and machine learning including reinforcement learning. Applicants should be proficient in Matlab and/or Python Point of Contact ARL-RAP Eligibility Requirements
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to develop novel statistical techniques, analyze satellite and other remote sensing data, implement machine learning algorithms, assess numerical model performance, improve risk assessment tools, and deepen