43 high-performance-computing-postdoc Fellowship positions at Zintellect in postdoctoral
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—from chickens to bison and everything in between. This opportunity is in the endemic swine viruses laboratory group of the Virus and Prion Research Unit, which advances a comprehensive research program
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) Familiarity with mathematical programming solvers (e.g., Gurobi, CPLEX) or probabilistic/Bayesian computing frameworks (e.g., Stan, PyMC) Ability to formulate high-impact, novel and well-defined research
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of heat and drought tolerance in perennial ryegrass in field and lab settings under the guidance of a mentor at the Forage Seed and Cereal Research Unit in Corvallis, OR. In the field, you will help collect
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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will gain experience in: Advanced analytical chemistry techniques for profiling fruit metabolites and VOCs Operation and application of HS-SPME-GC–MS, SIFT-MS, and high-resolution mass spectrometry
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in a Unix environment and on high-performance computing equipment. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) apply methods in computational
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primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and conducting scalable, high-throughput
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to modify food plants and enhance the use and performance of agricultural materials. Research Project: You will be a part of a collaborative research team focused on the improvement of healthfulness and shelf
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with a focus on improving drought, heat, and salinity tolerance in different turfgrass species and understanding how turfgrass quality attributes contribute to ecosystem services. As part of
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analyzing data related to weed control, herbicide performance, and whole-plant physiological processes of herbicide-resistant and susceptible populations under controlled environmental and field conditions