95 machine-learning-"https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at Zintellect
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, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (11
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defenses. Learning Objectives: The participant will gain hands-on experience in molecular biology, immunology, and other research areas aligned with the agency’s mission. Mentor(s): The mentor
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and ion), mass spectrometry, and capillary electrophoresis. Learning Objectives: Become familiar with the collection, extraction and analysis of horticultural samples Develop skills in the following
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also be able to travel to national or regional conferences to disseminate findings, interact with land managers and other scientists, and develop professionally. Learning Objectives: The USDA-FS expects
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technologist. They will take part in the research and analysis of protein extraction and characterization in relation to food quality and safety. Learning Objectives: The participant will learn to incorporate
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students within the field of quantum information science and technology (QIST). By encouraging graduate student participation in QIST-based research, the LQC National Quantum Fellowship fosters the learning
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using different LC/MS or GC/MS based techniques. Learning Objectives: As a result of this training, you will gain knowledge and experience in: Liquid chromatography, gas chromatography, and the hyphenated
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collaboration with the mentor and other project members, to refine the focus of these activities based on the knowledge base, skill sets, and interest of the participant. Learning Objectives: The fellow will be
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operational scales. Learning Objectives: The participant will gain hands-on experience and acquire knowledge in engineering solutions for nutrient recovery and/or removal from manure and animal wastewater, as
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for US agriculture that are often grown in very different climates. The goal of the project is to learn about types of microbes that benefit crop yield or crop quality in the context of field agriculture