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Albuquerque area (including surrounding communities such as Rio Rancho, Los Lunas, Belen, Edgewood, and Santa Fe) and be able to reliably commute to the College of Nursing, Health Science Rio Rancho Campus
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Section instructor is responsible for maintaining reliable access to the learning management system (e.g., meeting technical specifications and reliable high-speed internet access). Minimum Education and
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agenda, including by applying to postdoctoral projects at FWO; Support LINES by supervising or co-supervising junior researchers and PhD students, and, occasionally, contribute to BA- and MA-level teaching
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Posting Details Posting Details Job Title CAER Director Associate Requisition Number RE52006 Working Title Associate Director, Intelligent Systems for Grid Reliability Department Name 40550:Ctr
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Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance of combined classical and
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researchers, and external collaborators in an international research environment.The main objectives of this PhD project are to: Develop source localization algorithms that remain reliable in the presence
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PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134234 Requirements Specific Requirements PhD Student Profile: • Master's in Embedded Systems
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26749 PhD position in biomedical research (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
are recruiting PhD students to work on this exciting topic of LLM-based agentic AI, with the goal of making AI agents reliable, efficient, and collaborative. The research results are expected to become the core