118 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at Zintellect in United States
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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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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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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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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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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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measurements of newly established assisted migration trials. Greenhouse and bare root seedling fields are also available for independent projects. Learning Objectives: Improve knowledge of science and knowledge
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genetics, plant phenotyping and data analysis using tools such as R or Python. Stipend $65,000.00 – $100,000.00 Yearly Point of Contact Janeen Eligibility Requirements Citizenship: U.S. Citizen Only Degree
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cattle entering the slaughter facilities. Learning Objectives: The fellow will gain experience in planning experiments and data collection, enumeration/detection of bacterial groups, screening of biofilm
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or currently pursuing. Minimum Overall GPA: 2.50 Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17