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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in
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, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
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. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and electrophoresis required. Experience in
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computational analysis of genome sequencing data in the Ellison laboratory. Position Status Full Time Posting Number 25FA1089 Posting Open Date 10/31/2025 Posting Close Date Qualifications Minimum Education and
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of Neurosurgery is seeking a graduate of a MD or PhD program preferably with a background in basic sciences, particularly in skull-based Neurosurgery. This individual will work under the supervision of Dr Anil
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and