-
. The successful candidate will also apply statistical modeling for mechanistic inference and conduct biogeographic and geospatial analyses of microbiomes. This position involves collaborating with scientists and
-
of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
-
the instrumentation, developing the data analysis methods, and applying the methods to study model biomolecules and biomass systems. This research is part of the laboratory’s work for an Office of Science, Biological
-
continued funding availability. Required Minimum: PhD degree in Civil Engineering Preferred Qualifications: Demonstrated expertise in water resources and ecohydrological modeling. Demonstrated research
-
computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition