Sort by
Refine Your Search
-
. These include, but are not limited to, Gaining experience in operant behavioral testing, biosampling, molecular, cellular, and biochemical techniques, physiological instrumentation and analysis, data management
-
and subsurface responses to environmental disturbances. Fellows will practice a variety of data collection, monitoring, and analysis techniques by collaborating on one or more of the following
-
and testing a novel automated field-based high throughput phenotyping system. You will also assist in conducting experimental design, data collection from field experiments, and data analysis. Research
-
fermentation, food processing, and process engineering to design and improve processes that improve food ingredient functionality and create unique flavor profiles and remove the off flavors. Learning Objectives
-
responses to environmental disturbances. Fellows will practice a variety of data collection, monitoring, and analysis techniques by collaborating on the following research track: Post-Fire Hydrology and
-
financial and environmental costs and benefits of these practices. We will utilize data collected in a large-scale experiment on commercial farms near Clarksdale, MS to conduct a systems-level analysis of
-
apply? Through active involvement in these projects, you will further develop your skills in data collection, analysis, and interpretation related to toxicants, resuscitative adjuncts, and biological
-
, integrating laboratory specificity testing with advanced genomic analysis to elucidate the genetic architecture governing host association and adaptation. Investigate post-introduction adaptation of biocontrol
-
expected to learn both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and
-
habitat or alternative food sources. Be familiar with recent developments on the introduction and spread of two spot cotton leaf hoppers in cotton crops. Have experience with methods for data analysis and