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processing equipment development. The ideal candidate will have experience applying domain knowledge in materials science and engineering as well as machine design and construction to create, with our great
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partnership with Cardinal Health, Inc. The goal of the fellowship program is to provide comprehensive postgraduate training to prepare a pharmacy fellow to design, conduct, and evaluate pharmaceutical and
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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scientific mentor in the Department of Neurology; plan, design and execute experiments of considerable scope and complexity in the assigned research lab; collect and analyzes data for research sponsored by
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| College Administration Conceptualize, develop and execute an individualized training plan related to health development. Conduct research training coursework, and research activities, which may include
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the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments; independently develops and troubleshoots new experimental techniques and
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the guidance of scientific mentor in the Department of Microbial Infection & Immunity; designs, conducts, and evaluates research experiments; plans and executes advanced molecular biology, virology, and
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characterization of Fe-10Ni test builds using methods such as SEM and TEM to characterize oxide particle size and distribution. Collaborate on research papers that are led by PhD GRA who is also working on project
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of his/her scientific mentor to investigate the molecular and circuit mechanism of epilepsy in mouse models; independently designs new analytical approaches and tools; performs experiments; independently
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under the guidance of his/her scientific mentor to investigate the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments