83 machine-learning "https:" "https:" "https:" "The Open University" "The Open University" Fellowship research jobs at Zintellect in United States
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, the participant will learn HPC computing technologies and techniques in genomic epidemiology and machine learning to quantify drivers of IAV evolution in swine using data generated from IAV surveillance in human
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contributions are valued and your growth is encouraged. This fellowship is ideal for enthusiastic, team-oriented individuals eager to learn and make meaningful contributions to the field of emerging infectious
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instrumentation and analysis, data management, software applications, record keeping, compliance training, and the principles of scientific study design. Learning both general and specialized research skills
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policy. Additional details may be found at the MESC website here: https://www.energy.gov/mesc/office-manufacturing-and-energy-supply-chains About this Opportunity The selected fellow will join the Energy
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Germplasm System - https://www.ars-grin.gov/Collections#plant-germplasm . Our mission is to conserve, document, distribute, characterize, and evaluate crop germplasm for crop improvement research. Our
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organization. For more information about the 711th Human Performance Wing, please visit https://www.wpafb.af.mil/afrl/711hpw/ . About ORISE This program, administered by Oak Ridge Associated Universities (ORAU
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mechanistic studies in nutrition health associations. https://www.ars.usda.gov/plains-area/college-station-texas-rafsru/responsive-agriculturalfood-systems-research-unit/ The research of the Responsive
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. These include, but are not limited to: Writing proposals under guidance of senior scientist Learning all aspects of the drug development process from early discover through pre-clinical trials Performing
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, statistics, and field-lab approaches. Learning Objectives: The participant will receive training in plant molecular biology, genetics, and genomics. This research is expected to result in increased learning
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Raman imaging technologies for safety and quality evaluation of agricultural products. Learn artificial intelligence/machine learning methods to evaluate hyperspectral image data to assess safety and