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motivated and talented postdoctoral researcher to employ optical approaches to study the mechanisms of cortical network formation in the developing brain. We have recently obtained funding to use wide-field
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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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of instrumentation, methodology, and the quality control measures applicable to the modern clinical laboratory. A fellow must be a competent manager of people, capital equipment, budgetary resources, and have a
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). Areas of biomedical engineering research include: Bioinstrumentation and Medical Devices, Biomaterials and Micro/Nanofabrication, Biomechanics, Biomedical Optics and Imaging, Biomolecular, Cellular, and
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and its success is built upon the innovation and drive of every member of our team, from faculty to administrators to technicians. Put simply, all of us are driven to provide the best eye care for our
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knowledge of statistics is required to analyze and interpret test results. • Knowledge and skill sufficient to maintain and operate standard instruments (fluorescence microscopes, thermal cycles, cell culture
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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-electronics, Optics and opto-electronics, Signals and image processing, Systems and controls, and Very large scale integration (VLSI). Pay and Benefits Pay Range: $61,008 - $71,008; depending on education
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flux measurements using biogeochemical modeling. They will be responsible for managing projects related to field instrumentation and ecosystem flux modeling. 20% designing and implementing trace gas flux
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electrophysiology or optical stimulating/recording methods. •Experience working with awake, behaving rodents is essential, which could include work using pharmacologic manipulations. •Prior experience in highly multi