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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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and a discretionary research fund of up to $4,000. Selected candidates are expected to devote time to original research activities described in the application to the Voss postdoctoral program. In
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Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial Intelligence, Information Systems, or a closely related field by
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, interdisciplinary collaboration, grant development, research translation, and engagement with a growing research program in resilient, intelligent, and data-informed infrastructure systems. Your key responsibilities
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the quality of life for older adults through innovative research and community engagement. Applicants for Post-doctoral Fellow should possess a PhD degree or equivalent in Social Science, Psychology, Public
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) Application Deadline 18 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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, interdisciplinary collaboration, grant development, research translation, and engagement with a growing research program in resilient, intelligent, and data-informed infrastructure systems. Your key responsibilities
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the ambition to grow. For more information about LIACS, visit our website. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision