Sort by
Refine Your Search
-
availability in forests, let alone in landscapes with distinct elements (lakes, wetlands, and uplands), is challenging. More effort is needed to enhance regional to national capacity to provide timely and
-
or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
-
high-energy physics more generally. Determining which questions to study, determining which theoretical methods are appropriate for answering these questions, and inventing new methods where necessary
-
-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
-
experiments to develop novel husbandry methods and genetic tools for invasive zebra mussels. Duties may include but not be limited to conducting experiments, analyzing data, recording and documenting results
-
of engineered synthetic biofilms and microbially derived systems and materials. Specific techniques involved include for example, molecular and synthetic biology methods, biochemical and biophysical methods
-
of health policies that advance population health, with a focus on rural communities. 2. Utilize quantitative methods, data management and analysis skills, and large secondary datasets, and collaborate
-
to enable heritable editing in Sorghum bicolor, maize and other monocots. 65% Perform Research: Lead role in developing methods to make targeted mutations in plants using sequence-specific nucleases
-
which unresolved questions to study Deciding on the appropriate theoretical methods to use to answer these questions Deriving or extending these methods as needed Evaluating the results for consistency
-
literature search on relevant topics including current methods, reagents, and ethics. Perform periodic literature reviews. Establish and maintain a working knowledge of the principles behind daily work