40 structural-engineering-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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highly organised and structured with the ability to create solutions to complex problems. - Have a thorough understanding of research set-up and delivery within an HEI or NHS environment
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We are seeking a highly motivated and skilled Research Assistant to join the Department of Materials, Design and Manufacturing Engineering. This role is central to a pioneering project aimed at
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experience in one or more of the following areas would be particularly welcome: Property Law (Equity and Trusts; Land Law); Criminal Law (including Criminal Evidence); Law & Technology; Commercial/Corporate
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proactive in developing own leadership skills and contributing towards MSc/PhD student supervision in the research group. You should have a PhD in Electrical Engineering and Energy Systems. The post is
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intelligence, data science, and engineering disciplines. We value diversity, inclusion, and professional development, and we support our staff to grow their careers while contributing to innovative research
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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of researchers to develop new heterogeneous catalysts for conversion of CO2 to light olefins using high-throughput experimental techniques and AI tools. You will have a PhD in chemistry or chemical engineering, a
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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close to completion) in cognitive neuroscience, psychology, biomedical engineering or a related area ¿ Experience of human neuroscience experiments, including EEG or MEG recording and analysis