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brain stimulation (TMS) and well as experience in biophysical signal processing (in both time and frequency domains) and programming (e.g. MatLab, R). The research position, in conjunction with
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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structures Hands-on experience with signal processing and RF test instrumentation Strong written and verbal communication skills, with the ability to work effectively in a multidisciplinary team environment
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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. Are you interested in learning more about the EM STARS program and application process? Information Sessions : Monday, August 17 from 2-3:30pm ET: View recording here Friday, September 4 from 12-1:15pm ET
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Stimulation (TMS), Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and Electromyography (EMG). The role involves the acquisition, processing, and analysis of signal data, the application
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
atmospheric composition records. Research areas may include, but are not limited to, investigating trends in HOx, NOx, and BrO chemistry, quantifying impacts on stratospheric ozone production and loss processes
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 13 hours ago
. (6) Ability to conduct independent research in a multi-disciplinary team. Point of Contact Jordan Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree
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systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics and mathematical approaches to signal analysis