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motion - Frequent 3 to 6 Hours Environmental Demands Chemicals, dust, gases, or fumes - Occasional Up to 3 Hours Loud noise levels - Occasional Up to 3 Hours Marked changes in humidity or temperature
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Hours Keyboard use/repetitive motion - Frequent 3 to 6 Hours Environmental Demands Chemicals, dust, gases, or fumes - Frequent 3 to 6 Hours Loud noise levels - Frequent 3 to 6 Hours Marked changes in
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requirements. Lifting up to 25lbs. WORK ENVIRONMENT: Lab environment. Moderate noise. Exposure to blood, excrement, antineoplastic drugs and possible exposure to infectious and communicable diseases. Universal
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with exposure to noise, heat, moving equipment and machinery, chemicals, and potentially hazardous materials • Ability to enter cramped spaces, climb ladders and access difficult and awkward spaces Pre
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, the employee will float to the ER and ICU to assist. The work environment may include bright or low light, noise, exposure to animal bodily fluids and/or allergens such as mold, dust, animal fur and dander. Work
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: Office environment. Moderate Noise. This individual spends time working in office and field environments. The office environment is standard with low to moderate noise. The field environments vary from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Preferences Experience with experiments on vibrating tables or parametrically-forced fluid systems. Proficiency in 3D resin printing, laser cutting, SolidWorks, Matlab, video acquisition or processing, Arduino
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Work Environment: PHYSICAL DEMANDS: Standing, sitting, walking, talking or hearing. No special vision requirements. WORK ENVIRONMENT: Office environment. Moderate Noise. Salary: $25/hour is budgeted
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growth and professional development opportunities. This position is not eligible for work visa sponsorship. To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC Job Responsibilities or
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extraction: the sparse structure of LRPC matrices could enable reduced-weight stabilizers, a necessary condition for a low-noise extraction circuit. 2 Efficient decoding: classical LRPC algorithms