199 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Zintellect in United States
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pathway for undergraduate students. EQuIPT is a 10-week, full-time, student-focused internship. Under the guidance of a mentor, you will learn and gain experience engaging with LQC researchers, industry
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. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
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the growth of America's scientific leadership in emerging fields, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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of the opportunity involve various outdoor conditions requiring moderate exertion and traversing the landscape of the MEF. Additionally, the fellow will experientially learn about and participate in the Forest Service
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Lists of substances that can be used in human compounding. Learning Objectives: Under the guidance of the mentor, you will gain skills and confidence in making scientific presentations; learn how
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the discharges of wastes associated with conventional sorbent synthesis; • Learning on applied, cutting-edge projects with global impact while being mentored by the nation’s leading energy scientists
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for the Department of Defense, the U.S. Army and many other customers while also supporting ERDC’s research and development mission in geospatial research and engineering, military engineering, and civil works. ERDC
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professional scientific environment. Learning Objectives: The participant will have the opportunity to train with a team of microbiologists. Learning opportunities for the participant may include learning
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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