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of disseminating research through impactful publications and presentations (at least 3 first author publications) Desire to work in a multidisciplinary and diverse team environment Desire to train and collaborate
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. The successful candidate will work with Dr. Devlin to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out bench research, the successful candidate will
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these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
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challenging projects with minimal oversight in a fast-paced, environment while maintaining great attention to detail. We have developed a back exosuit that is lightweight and pliable and can assist with hip and
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genomic data from parasitic plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has shed light on
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to characterize the energetic costs of the brain across human development (recently shown to account for 66% of resting expenditure in childhood). Eventual uses include characterizing individual and population
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genomic data from parasitic and medicinal plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field