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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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the analysis of massive datasets. Extensive experience in signal processing and advanced statistical inference (e.g., Bayesian statistics, Fourier analysis) for extracting robust patterns from noisy, high
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sponsorship. Qualifications Required qualifications PhD in biomedical engineering, electrical engineering, or equivalent engineering degree with an in-depth understanding of physiological signals in response
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computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year
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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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University Ave SE, Minneapolis, Twin Cities Campus - East-bank. Sponsorship: This position is not eligible for H-1B visa sponsorship. Qualifications Required Qualifications: A PhD degree in Biostatistics
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to identify pathways within complex metabolic networks that can be used for early identification of disease or targeted to prevent or treat metabolic diseases. To accomplish this aim, studies combine the use
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execution and technology feedback. About the Lab: Our lab explores how the brain encodes and adapts to sound and electrical stimulation, with a focus on designing invasive therapeutic interventions
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associated with the Center on Geo-processes in Mineral Carbon Storage (GMCS), funded through the Energy Frontier Research Centers by the Office of Basic Energy Sciences, US Department of Energy. The main
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including O-RAN based network systems and testbeds to support emerging 5G/NextG user cases (10%) Dissemination via articles, conference presentations Qualifications Required Qualifications: PhD in