81 software-engineering-model-driven-engineering-phd-position-"https:" Fellowship positions at Zintellect
Sort by
Refine Your Search
-
; and delivering world-class science, technology and land management. Research Project: This opportunity will support a fellow to receive hands-on experience that complements their educational and career
-
pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
-
. agricultural health, regulating genetically engineered organisms, administering the Animal Welfare Act and carrying out wildlife damage management activities. These efforts support the overall mission of USDA
-
, and molecular breeding. Key learning activities include: Designing and conducting experiments in plant tissue culture, regeneration, genetic engineering, and genome editing of sugarcane. Developing
-
in vitro and in vivo infection models, flow cytometry, ELISA, western blots, and multiplex immunoassays. Our projects rely on successful partnerships with collaborators across academia and government
-
electrical penetration graph (EPG) technology. The candidate will perform laboratory, greenhouse, and field studies, and to establish experiments to test different pest management strategies. Learning
-
adapting methods from published literature. Through meticulous record-keeping, data tabulation, statistical analysis, and summarization using computer software, you will gain practical experience in managing
-
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
-
. agricultural health, regulating genetically engineered organisms, administering the Animal Welfare Act and carrying out wildlife damage management activities. These efforts support the overall mission of USDA
-
their ability to communicate results effectively. Through these activities, the fellow will expand their knowledge and skill set in honey bee biology, biotechnology, microbiology, molecular biology, and data