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maintenance, and cell-based assays. • Propagate, quantify, and characterize viruses using standard virology techniques. • Conduct molecular biology assays including nucleic acid extraction, PCR, RT-PCR, qPCR
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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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). Appointments will commence as soon as possible, with the possibility of renewal based on performance and funding availability. Responsibilities Conduct research and develop AI agents/skills applied to BIM/IFC
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Balancing Personalisation and Polyvocality: Dialogic Interaction for Open-mindedness and Empathy in Conversational AI. The project investigates how conversational agents in museum settings can balance
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to, office receptionist, word processing, Quickbooks, filing, maintaining data bases & mailing lists, developing and maintaining websites, designing newsletters, and providing support for county agents and
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/supervisory/managerial role. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION/EXPERIENCE The successful applicant must be eligible for and willing to: Work with hazardous biological agents handled at BSL-2
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. This individual should possess deep hands-on experience using a wide range of AI tools, platforms, and agent-based systems and be comfortable demonstrating, teaching, and supporting others in their use
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. Supervises artistic operations staff, including producing personnel, company management, literary fellows, interns, and project-based producers. Develops efficient workflows, production documentation, and post
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) Posting Number req26945 Department Pima County Office Department Website Link https://Tucsonvillagefarm.arizona.edu/ Location County Extensions and Farms Address 2201 E Roger Road, Tucson, AZ 85719 USA
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will be based in the unique interdisciplinary and inclusive School of Engineering Mathematics and Technology. The post-holder will be expected to carry out research using scientific machine learning