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analysis using STRUCTURE, dartR, PCA, SplitsTree) Proficiency in statistical analysis and interpretation of complex biological datasets Working knowledge of statistics and software for the analysis of genome
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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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
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Required Qualifications: PhD in physiology, biochemistry, biology, chemistry, engineering, or related field Demonstrated training in one or more of the following areas: metabolism and metabolic diseases
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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
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. Successful candidates should have a PhD in earth sciences, chemistry, environmental
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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
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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
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engineering, MRI Physics, or related fields • More than 2 years of MRI research or technical development • Experienced in data analysis using MRI software (e.g., SPM, FSL) • Adept in programming with MATLAB, C
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PhD in Animal Science, Biology, or related field Prior experience in cell culture, cellular and molecular biology techniques Previous experience working with large animals (preferably cattle) in a