-
methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
-
organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
-
at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
-
: Limited to a period of three years up to five, depending on training needs. The individual may be immediately post-degree or returning for additional training, updating, and retooling. Limited to fields
-
or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
-
research sites with the Principal Investigator. These activities will be targeted to publishing peer-reviewed journal articles, updating nitrogen fertilizer best management practices (BMPs) and assisting
-
, communicate project needs, and provide regular updates on project progress to the lab group and Principal Investigator. -You will have joint responsibility for the organization and management of laboratories