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models differ and how variations in administrative capacity, regulatory design, risk exposure, and public–private collaboration contribute to these differences. The project aims to identify institutional
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Research Fellow-Continuous Experience Recognition for Distributed Co-creative Immersive Systems Apply for this job See advertisement About the position We invite applications for a PhD Research Fellow
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this challenge by researching agentic programming frameworks for decision-oriented uncertainty and risk quantification, in which multiple specialized AI agents collaborate to design, execute, and evaluate UQ
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, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration, or a capacity
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description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) Short letter of motivation (400 words/1 page) Possibly
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researching agentic programming frameworks for decision-oriented uncertainty and risk quantification, in which multiple specialized AI agents collaborate to design, execute, and evaluate UQ workflows under
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comparative case study design, examining Norway’s highly digitized (but) peacetime context with other more volatile contexts. One relevant context in particular is the Ukraine’s experience of sustained cyber
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on NIH, visit http://www.nih.no The position and the scientific work The Department of Sport and Social Sciences, NIH, is advertising a three-to-four-year (depending on teaching assignments) PhD
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environmental, economic and societal life-cycle performance to design and decision-making for production marine bioactives through prospective life cycle assessment and techno-economic analysis. The candidate
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at the Institute of Biomedical Engineering, University of New Brunswick (Canada), whose group has long been at the forefront of myoelectric control, prosthetics research, and pattern recognition for clinical human