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Broadcast and Studio Engineer - (Broadcast Engineer, Range I) - College of Liberal and Creative Arts
degree program in a related field or a combination of technical training and experience. Typical knowledge and skill requirements: Comprehensive knowledge of the practices, methods and trends in television
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certification authorities. Knowledge of experimentation and research methodology. Proficiency in quantitative research methods and familiarity with relevant computer programs, such as SPSS, SAS, or STATAl
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
(4 days in person) Position Location North Carolina, US Hiring Range $26.00 - $32.00 per hour Proposed Start Date Estimated Duration of Appointment 6 months not to exceed 11 months Position Information
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when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt
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. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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Department PME Quantum Engineering About the Department The Pritzker School of Molecular Engineering (PME; https://pme.uchicago.edu/) was established in May 2019 and evolved from the Institute
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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20 Feb 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electronic engineering Researcher Profile
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methods to provide explainable outputs from AI models in presence of attacks on the models or data, and scalable methods that move beyond feature attribution aiming for root cause analysis and decision