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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description FULL STACK SOFTWARE DEVELOPER, Comp Sci & Artificial Intelligence Lab - Future Tech Project, to design, develop, and maintain our web platforms, ensuring seamless performance
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. The postdoctoral researcher will: - design and conduct molecular, cellular, biochemical, and biophysical experiments; - investigate protein interactions mediated by intrinsically disordered regions and short linear
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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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physiologic antimicrobial susceptibility testing that incorporates host immune and environmental factors, and investigating host-pathogen interactions, including the role of bacterial virulence factors
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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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-Media Interaction (EEMCS) and Interaction Design (IxD) research groups and collaborate closely with the Sports Interaction Technology Lab at the University of Twente. Where to apply Website https
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 12 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