48 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Liverpool
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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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constantly changing programme. We are particularly interested in those with sound engineering experience but welcome applications from all of the above skillsets. This role is ad hoc and shift based, allocated
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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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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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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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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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together staff and students from across the Faculty of Science and Engineering, fostering interdisciplinary learning and ensuring an outstanding practical teaching experience. Commitment to Diversity
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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