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). This role is pivotal in enhancing the student learning experience through exceptional teaching practices and innovative curriculum design. The ideal candidate will promote and support student learning through
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We are looking for 5 motivated Doctoral students to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering. You will
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within the CREST-GLOBAL research team, which focuses on equitable urban transitions and decision-making under uncertainty, in close interaction with the Department of Design. Are you motivated to take a
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Award . Role This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https://aria.org.uk
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and files. Interacts with patients providing various routine information such as explaining treatment procedures, medications, diets or various pre-established instructions to patients. Collects blood
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 2 hours ago
lower-income students find paths to prosperity. Designated an Innovation and Economic Prosperity University by the Association of Public and Land-grant Universities, UNCG is a community-engaged research
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focused on high-content quantitative microscopy of host-pathogen interactions. The project aims to quantitatively understand mechanisms involved in the multi-scale coordination of innate immune responses
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design. MOSAIC-Health will strengthen this activity through the development and application of modern artificial intelligence methods for drug discovery. The project will build on existing collaborations
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: Department of Surgery, Division of Surgical and Interventional Sciences Course Title: Surgical Innovation 1 EXSU 620 Course Code: EXSU 620 Estimated Number of Positions: 1 Total Hours of Work per Term: 60
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods