Sort by
Refine Your Search
-
-world applications in animal health, genetic enhancement, and behavior genomics. This role is 100% computational, allowing for deep dives into complex datasets that drive innovation in genetics and
-
applications in animal health, genetic enhancement, and behavior genomics. This role is 100% computational, allowing for deep dives into complex datasets that drive innovation in genetics and biotechnology. As
-
the field of research and the design of experiments, and has broad expert knowledge of complex equipment, materials and processes related to research planning, funding and operations. Possesses high level of
-
Engineering, Auburn University and participate in activities associated with the Boshell Diabetes and Metabolic Disease Research Program at Auburn University. The funded NIH project (5R01CA267170-03) is
-
to couples in the community and youth in high schools while simultaneously rigorously evaluating program effectiveness and testing implementation science research questions. In collaboration with the Principal
-
of plant physiology, genomics, and environmental stress adaptation. This position is part of an integrated research program aimed at improving drought tolerance in eucalyptus and poplar. The fellow will lead
-
-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
-
with a variety of personnel, data sources, and datasets, and prepare reports and communicate findings to key stakeholders. - They may present research and program findings to technical and non-technical
-
agency meetings, and prepare proposals for additional extramural funding of the research program. This is a benefit eligible, non-tenure track position. The appointment is for an initial period of one year
-
Engineering, Auburn University and participate in activities associated with the Boshell Diabetes and Metabolic Disease Research Program at Auburn University. The funded NIH project (5R01CA267170-03) is