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please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be on site 3 days a week. Although we can accommodate working from home for this role, flexibility
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, and weekend. TECHNICAL RESPONSIBILITIES: Dust mops, spot mops, and auto scrubs front and back of the house floors on a daily basis in accordance with master cleaning schedule. Cleans stairs, hallways
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of extrusion systems, reinforcement strategies, construction detailing, and construction scale experiments. RA3) Machine Learning and Optimisation for Digital Construction: Data-driven and simulation-based
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ophthalmology, including cataract surgery, alongside a neuro-ophthalmology component of their practice, will also be considered. This will include office visits at the Duchossois Center for Advanced Medicine in
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university committees, participation in accreditation and quality-improvement processes, and engagement in faculty development activities. An optional component of this role includes the ability to maintain
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 4 yrs Required License/Registration/Certification None. Physical Requirements Ability to sit for long periods
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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University of California Agriculture and Natural Resources | Redding, California | United States | 6 days ago
. Wash doors, glass, mirrors, showcases, glass panels, inside windows and outside windows at ground level. Polish metal fixtures, wastebaskets and other receptacles. 40% Unclog minor drain stoppages
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; gender identity or expression; genetic information; military service; national origin; political affiliation; pregnancy, childbirth, or related medical conditions, including lactation; race (or traits
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related field. You have expertise in one or more of the following: finite element modelling, composite manufacturing, machine learning, or stochastic design. You are motivated to work across academic