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will be primarily based at Main Sterilization in the Health Sciences building on the main UW campus and will float as needed to the Magnuson Sterilization location, which is located our Sandpoint
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approaches, including advanced live cell imaging and in vitro motility assays. The position is based in Michael Way’s laboratory at the Francis Crick Institute. Click here to read more about the Way lab
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the appropriate apartment in this unique environment. Job Description Primary Duties & Responsibilities: Meet prospects visiting the rental office, fill out visitor cards and pre-qualify prospects. Show model
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, immunology, epidemiology, population genetics and mathematical modelling and involve both laboratory-based projects and fieldwork. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time
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, evidence-based treatment plans in dynamic critical care environments. Prescribes and titrates pharmacologic agents (including vasoactive infusions / vasopressors, sedatives, analgesics, paralytics
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management strategies using evidence-based medicine. · Facilitate referrals to other care providers. · Prescribe appropriate pharmacological agents. · Provide patient education and
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Framework and the Student Advising Model. Resolving issues identified through student inquiries regarding enrolments, fees, timetabling, and other related matters, acting to resolve the problems, or where
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle the world’s most pressing
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intelligent robotic behavior across diverse environments. The position involves developing and testing embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and
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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases