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Associate, Information Science Posting Number req27167 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 2 hours agoPosted: September 15, 2026 Tenure-Track/Tenured Faculty Positions in Supercomputing/ High-Performance Computing Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty
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to these values and are looking for a Postdoctoral Researcher in Microwave and Antenna Engineering for CubeSat Applications who has: A PhD in Electrical Engineering, Electronic Engineering, Microwave Engineering
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1 Sep 2026 Job Information Organisation/Company Corify Care Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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seeking to appoint an outstanding academic in Communication/Network Engineering within the Department of Electrical and Electronic Engineering, School of Engineering. This is one continuing, full-time
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world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model
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, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan/ The College of Medical, Veterinary and Life Sciences (MVLS) has 8 Schools that bring staff
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Merit-based criteria PhD degree in physics, optical engineering, biomedical engineering, electronics, or a related field (or a defence date scheduled
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computer science, software engineering, or a related discipline Experience building web applications (full-stack or back-end development) Proficiency in Python and familiarity with web frameworks (e.g., Flask
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of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding. The goal is to develop new