178 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Zintellect
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Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life
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resources to support development of rich datasets for asking complex questions and collaborate broadly across many different research communities. Learning Objectives: The participant will learn techniques
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, master's or doctoral degree in biochemistry, molecular biology, chemical engineering, chemistry, or a related field within the past five years. U.S. military veterans who have been honorably discharged
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and platforms. This mentorship opportunity thus offers research training in applied plant breeding techniques as well as genetic and statistical analysis of collected data. Learning Objectives: As an
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long-term monitoring of rangeland soils, and which soil carbon fractionations are most important for monitoring changes in carbon due to disturbances. Learning Objectives: The two research areas will
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multidisciplinary team to execute studies and analyze data. Learning Objectives: The participant will gain skills in the conduct of this research by collaborating side by side with Federal scientists and technicians
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are high visibility concerns to the US military about which little is currently defined. This research project will promote valuable educational growth with the development of a well-rounded research
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resilience. Learning Objectives: The participant will receive training in insect rearing methods, insecticidal bioassays, molecular techniques, and data analysis. Mentor(s): The mentor for this opportunity is
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Summer 2026 Undergraduate Hypersonics Technology Internship at the Air Force Institute of Technology
Requirements Citizenship: U.S. Citizen Only Degree: Currently pursuing a Bachelor's Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Engineering
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. Learning Objectives: As a result of this training, the participant will gain knowledge and experience in: Enzymatic, chromatographic and related methods for the analysis of phytochemicals, dietary fiber and