582 structural-engineering-"https:"-"https:"-"https:"-"https:" research jobs in United Kingdom
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suitable for an individual who does not yet have a national training number and wishes to pursue a career in the cancer field. You will take part in a structured training programme of research leading
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the Athena SWAN Gender Equality charter for promoting the career of Women in STEM (science, technology, engineering, mathematics) in higher education. We particularly welcome applications from women and other
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data on housing construction, search and price information, and other data that vary depending on the focus of a given sub-project. You will also be learning how to work with Big Data, with billions
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relevant environments. What we are looking for: PhD (or near completion) in Robotics, Artificial Intelligence, Computer Science, Control Engineering, or a related discipline; candidates without a PhD will be
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, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI from both technical
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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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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investigating separation technology efficiency, and characterisation of separated lithium ion battery fractions, in addition to closing the loop of these material streams through manufacturing efforts and
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(AIRE) study. The AIRE study aims to combine state-of-the-art language engineering techniques and Artificial Intelligence (AI) to provide easier, earlier access to specialist respiratory diagnostic
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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