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efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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developing theories, principles, tools and methods to replace ad hoc approaches to porous media with a fundamental understanding of porous media with relevance in biology, chemistry, geology and geophysics
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use anthropogenic approaches and cutting
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Researcher at the Influenza Centre, Department of Clinical Science Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around
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Contribute directly to life-saving road safety improvements. Full-time, fixed term (3 years) position at our Hawthorn campus $34,700 per annum for three years Project Title: Sustainable and cost
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manageability, patient safety, and reduce waiting lists. You will need to demonstrate you: Meet the academic requirements for a PhD offer from the University of Reading. Have a MSc degree in Computer Science or a
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graduates to address diverse and complex social issues such as aging, disability, disaster management and recovery, criminal justice, health disparities, and public safety, and find solutions to challenges in
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Job Advertisement HKI-32/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human