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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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16 Mar 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher
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15 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University,, Department of Materials Science and Engineering Research Field Technology » Medical technology
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, with a focus on computational methods, addresses this complexity through quantitative and computational approaches. This includes network analysis, simulation and modelling, as well as data-driven
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exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
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of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will build methods for supervised
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direction investigates the role of attention mechanisms in event-driven and spike-based models. Transformer architectures will serve as a reference framework to analyze the benefits and limitations
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Clinical Assistant Professor (12-month contract, Non-tenure Track) – Occupational Therapy Department
foundational courses, evaluation, and intervention at individual and group levels. Experience with educational technology and online education. Preferences will be given to applicants with established records
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Department: Information Technology Classification: Info Technology Spec 3 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA