149 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Zintellect in United States
Sort by
Refine Your Search
-
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
-
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
-
of biocontrol treatments in corn. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and field research
-
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
-
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
-
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
-
ALB parasitoids introduced for biological control. Learning Objectives: Under the guidance of a mentor, the participant will gain experience in: Researching approaches to studying the behavior, ecology
-
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
-
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
-
management, and federal compliance processes. Learning Objectives: Through this fellowship, the participant will have the opportunity to: Learn to analyze and interpret complex engineering drawings and