-
and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
-
findings to technical and non-technical audiences. Learning Objectives: Under the guidance of a mentor, you will: Develop skills in epidemiologic and statistical analysis through mentored application
-
Objectives: Build competency in designing and planning science studies, including performance measurement and mixed-methods data collection. Strengthen skills in applying quantitative and qualitative analysis
-
validating the gene functions with transformation and molecular experiments. Lastly, you will assist in analyzing the gene-edited plants to improve grain quality in barley and oat. Learning Objectives: You
-
datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems
-
Objectives: Through this educational opportunity, you will develop foundational knowledge and practical skills in the following areas: Master routine laboratory techniques to ensure the production of accurate
-
analyses. Learning Objectives: By collaborating closely with members of our interdisciplinary research team, you will gain invaluable hands-on experience to all phases of the research process. You will
-
student for an exciting career in agricultural research. Learning Objectives: Under the guidance of a mentor, you will: Learn to extend and refine computational models used to simulate surveillance and
-
. This fellowship requires in-person participation in Manhattan, Kansas. Learning objectives: During this appointment, you will have the opportunity to: Gain experience in sorting and identifying insects of medical
-
national meetings to present the data collected during training. Learning Objectives: During the appointment, you will; Gain experience studying how agricultural practices influence soil health, crop