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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 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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experimental co-evolution of Alteromonas-phage interactions University of California, San Diego, laboratory of Justin Meyer Keila Stark, Ph.D. Disentangling effects of thermal variability on the evolution
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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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psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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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
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your application: Cover letter briefly describing your research experiences, skills, interests, and future plan CV with full publication list Name and contact information for 2-3 references. Contact
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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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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials