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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 16 hours ago
PhD PROGRAM DIRECTOR The School of Nursing at UT Health San Antonio invites PhD (Doctor of Philosophy) in Nursing or related field to apply for a full-time research position as Associate Professor
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Qualifications 2 to 5 years of experience teaching Electrical and Computer Engineering sequence and a range of ECE courses PhD in Engineering Engineering industry or operational experience Special Instructions
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for hydrogen carrier synthesis. Our vision is to establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions
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PhD students, you will further perform human testing of several prototype devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data
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undergraduate (BSc/BEng) and/or postgraduate masters’ qualification (MSc/MEng) in a STEM subject, by the start of the PhD. A candidate must: Comfortable with basic engineering/STEM undergraduate maths. Be willing
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establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
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Skip to main content Recruit Home Open Recruitments Assistant Project Scientist - Department of Electrical Engineering & Computer Sciences - RDI (JPF05183) Assistant Project Scientist - Department
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Security, Identity & Access Management, Audiovisual (AV) Engineering, Unified Communications & Collaboration (UCC), Student Computing Labs & Printing, and other teams inside and outside GW IT to deliver
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that drive progress across industries. Civil Engineering Technology students shape the future of our communities through the planning, design, and construction of vital infrastructure. Computer Engineering
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and computer science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making