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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric
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substantial amount of method development and troubleshooting is expected. The position will be supported by a federal grant for up to 3 years, contingent on continued availability of funding. The hire will work
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important for the role. Experience with participant recruitment and retention methods. CITI certified and trained in Good Clinical Practice. REDCap, data collection and data entry experience also preferred
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with participant recruitment and retention methods. CITI certified and trained in Good Clinical Practice. REDCap, data collection and data entry experience also preferred. Contact Information: Mark
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09-Jun-2025 Campus Services 68258BR Position Description Prepares and cooks menu items according to proper preparation methods in small batches or otherwise required by business needs. Reads and
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, and embryology) and methods (histology and various types of microscopy, molecular biology, greenhouse studies). Please note: This is a two-year term appointment, with an end date two years from the date
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, computational and systems biology, microbiome analysis, statistical genetics and genomics, neurostatistics, statistical and machine learning methods, and environmental statistics. All faculty in the department
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological
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Knowledge of standard research methods and statistical techniques, including multivariate regression and causal inference methods Attention to detail, organized, strong written and verbal communication skills
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launch of a new Opportunity Evaluation and Markets Initiative that uses newly developed big data matching methods to systematically evaluate social programs and scale successful programs. This is a rapidly