194 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Zintellect
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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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environment, and will be involved in creating experimental designs and treatments, collecting experimental data, and analyzing and interpreting results. Learning Objectives: Under the guidance of a mentor, the
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: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (1 ) Computer, Information, and Data Sciences (17 ) Engineering (8 ) Mathematics and
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. 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 ) Earth and
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consumption patterns in US children 1-18 years of age and determine if these associations are moderated by health behaviors and socioeconomic characteristics. Learning Objectives: By the end of the first 6
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. Learning Objectives: Under the guidance of a mentor, the participant will gain experience in: Recovery of cryopreserved hybridomas Culturing of different hybridoma cell lines The production of monoclonal
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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
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analysis of carrot nutrients and anti-nutrients, plant growth, pest and disease resistance. Activities include periodic travel to field sites within the U.S. Learning Objectives: Specific learning objectives
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ecological modeling. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and cold chain research. The participant
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the relationship between instrumental flavor analysis and sensory evaluation. Learning Objectives: The fellow will gain experience in a variety of advanced analytical techniques, including gas chromatography (GC-MS