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Field
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directly supports high-impact research outcomes, student mentoring, and the department’s broader commitment to integrating research and education. The position requires a high level of independent research
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latency, packet loss, and other uncertainties. The central research objective is to develop a passivity-based, controller-agnostic safety layer that enables human and AI-generated control commands to be
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study. Constantly seeking to improve, you will scrutinise your own work, and work collaboratively to enhance the faculty’s reputation in higher education and research. We look forward to exploring your
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standard care to research animals. Salary Range: Base pay is commensurate with experience. The above statements are intended to describe the general nature and level of work performed by people assigned
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QUALIFICATIONS Education: Doctorate degree in relevant field required Certification and Licensing: Refer to department description for applicable certification requirements Experience: No previous experience
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assessment criteria, which will be benefit are: Knwoledge and experience of cloud, monitoring & automation foundation Experience in foundation models and Large Language Models (LLMs). Experience in teaching
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
); contribute to the effective implementation of the project and to its overall academic impact and outcomes, including research presentations, papers and journal articles; Teaching and supervision As a
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starting date is 1 May, 2027 or as agreed upon by consultation. The postdoc position is a non-tenured full-time position of 2 years, with the possibility of 1 additional year of teaching obligations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Proposed Start Date 08/02/2027 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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you can grow your research career and belong. You will: Develop autonomous simulation agents that predict Li-ion conductivity and related properties for candidate compositions, returning a value, an