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(learning and memory, anxiety, activity, gait analysis, motor and coordination tests, sleep etc.). As the selected participant, you will have opportunity to engage in several of the research focus areas using
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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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findings will be encouraged and supported. Learning Objectives: The fellow will have the opportunity to gain or expand skillsets over a range of computational techniques needed for modern agricultural
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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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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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, perform sample preparation, instrumental and data analysis, and write scientific per-reviewed manuscripts and reports. Learning Objectives: The participant will learn to conduct research in the food safety
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areas. These include, but are not limited to: Learning about technical writing methods and standards for government reports Gaining experience in numerous science areas related to the human
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expertise on innovative research projects that will enhance Air Force Critical Care Air Transport (CCAT) capabilities, and you will learn about aerospace and operational medicine while growing your skills and
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variety of conditions that are not optimal growth conditions. The survival data of pathogens under these conditions (growth matrices + sub-optimal growth temperatures + antimicrobial stresses) will also be
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accumulation in edible parts of crops and use genomic tools to understand the genetic basis and gene regulation underlying accumulation of nutrients. Learning Objectives: Under the guidance of a mentor, the