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responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. Part-time opportunities
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that are outside of defined parameters; and changes in patient?s conditions to the nursing/medical staff in a timely manner. ? Obtains specimens (urine, stool, sputum, etc.) and ensures accurate labeling in presence
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and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position
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running scenarios together with simulation facilitators. Support the use of digital media and provide technical support for computer-based multimedia systems and their components. Program simulator software
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and promote energy conservation. Proactive in identifying and bringing forward energy conservation items and practices. Prepare and or review small project plans; provide cost estimates based on plans
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine
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and parameter estimation, Uncertainty quantification and model calibration, Mathematical modelling of biological or physical systems, Machine learning and deep learning theory, Spatio-temporal and