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://uscjobs.sc.edu. Position Description Advertised Job Summary The Molinaroli College of Engineering and Computing (MCEC) at the University of South Carolina in Columbia S.C is continuing to expand its tenured and
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of Educational Studies Position Headcount 1 Position Title Student Assistant - PhD in Education Academic Year Academic Year 2026-2027 Term or Semester All Academic Year Is this Role for an Undergrad or Grad
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. The research project will connect AI, robotics, specialized instruments, and data infrastructure into a cloud laboratory that researchers can access remotely and in collaboration with researchers
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, visualization, and AI infrastructure, along with scientific consulting, user support, education, and training. RCC also helps researchers leverage local, national, and cloud-based computational resources
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to scientific literature, and driving new research directions to advance the laboratory's core mission. Additionally, this position directs the laboratory’s robust undergraduate research pipeline and provides
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the Dutch 6G flagship project to help sahpe
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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to promote physical and mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You will hold a PhD/DPhil in computational biology, bioinformatics
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Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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. The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing