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an innovative AI-powered surveillance solution. Covering all the interconnected systems humans, animals, environment and food across EU and Africa. To this aim, we will use artificial intelligence, bioinformatics
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for operation in confined and hazardous spaces, thereby enabling the removal of humans from hazardous environments, enhanced productivity, and reduced costs associated with inspection and repair tasks in high
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unique opportunity enabling users to remove humans from danger, increase productivity and lower the associated cost of the inspection and repair tasks in high-value industrial facilities. In this role, you
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of Humanities, Department of Philosophy. The purpose of this role will be to work on the project: ‘Developing Meta-aesthetics’ at the University of Nottingham in undertaking research and other activities such as
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, and moral and social psychology into a novel, experimentally tested, framework thereby making a major step forward in the creation of a unified science of human cooperation. Successful applicants
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slavery, forced labour and human trafficking. The successful candidate will work in a team led by Professor Doreen Boyd, Associate Director for Measurement and Geographies at the Rights Lab, with additional
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continuum robots for operation in confined spaces, thereby enabling the removal of humans from hazardous environments, enhanced productivity, and reduced costs associated with inspection and repair tasks in
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data whilst using associated statistical analysis packages (e.g., SPSS, R, or AMOS). Have experience in recruiting and working with human research participants to collect research project data. Have
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organisation, management and strategic planning and will also contribute to the University’s strategic planning processes. You will act as investigator on major research projects within clinical and applied
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will not be accepted. For more details and/or to apply on-line please click here. If you are unable to apply online, please contact the Human Resources Department, tel. 0115 9515206 Further details: View