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Are you a post-doctoral researcher with a PhD in public health engineering and at least five years professional experience working in sanitation? Are you interested in improving the cost-efficiency
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Engineering on leading projects that uses advanced materials for energy and environment related challenges. Qualifications The candidate should have a Ph.D. in Materials Science, Chemistry, Engineering, or a
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pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
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our research team to work with PIs and co-PIs in the Department of Civil and Environmental Engineering and the Department of Industrial Systems Engineering and Management. This position’s primary focus
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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The project is led by Unni Olsbye, Department of Chemistry, and co-organized by Sabrina Sartory, Department of Technology Systems and Elin Lerum Boasson, Department of Political Science. The political science
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of different metrics of brain structure and function as biomarkers for mTBI. The focus of each position is slightly different with one Fellow cleading on structural data (Fellow 1) and one on functional data
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of the Software Engineering unit. About the project AI LEARN is a new Centre dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems
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range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills
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Engineering. The Research Fellow is expected to: • Conduct novel and impactful research. • Assist in the design of and lead experimental activities within the lab. • Disseminate research findings