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interpersonal skills, writing skills, and the ability to work effectively with other laboratory members. In addition, the scholar is expected to design, propose, execute, and interpret approved experiments
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electrophysiology data, judge the validity of data obtained from experimental procedures, design new experiments, write journal articles and give presentations at scientific conferences. The successful candidate will
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neuroscience by further development of our open-source, stochastic reaction-diffusion software, NeuroRD and further development of parameter optimization software. The position involves design and implementation
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, biochemistry, physiology, and/or molecular biology. Experience is designing mechanistic approaches in humans or animals is required. Experience in studying endothelial dysfunction or other vascular injury model
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disorders. Identify novel genes, circuits, or mechanisms underlying observed effects. Develop new hypotheses and methods to test them. Anticipate problems and plan alternative strategies. Keep clear and
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or university. Applicants need to be able to articulate a research plan that fits in with Departmental research goals. Additionally, applicants will be expected to write external grant proposals to secure funding
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metabolism in autoinflammation is related area of interest to our research group. The candidate will be responsible for designing, performing, and analyzing experiments related to inflammatory pathogenesis
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expertise in designing, implementing, and empirically evaluating computer systems, including embedded systems, wireless sensor networks, or cloud services. Desirable Qualifications: Expertise in machine
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, small airways disease and more. Design and execute experiments Work independently on basic research tasks with oversight by Faculty or Principal Investigator (PI). Contribute to documentation of equipment
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a number of departments within the College of Engineering and the Carver College of Medicine. A specific plan of research and mentorship will be defined for the successful applicant based