300 structures "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching & administration
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Table of contents of your written thesis Short description of the structure of the thesis (3-5 pages) Statement with key information (no length requirement – you have to convince the Selection Committee
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derive generally applicable guidelines for the design of improved organic materials. Interested candidates may want to take a look at our recent work https://www.nature.com/articles/s41467-025-67722-4 and
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qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture and Engineering here: https://www.ncl.ac.uk/sage/ Find out more about our Research
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organisational skills with the ability to plan and organise work effectively and generate comprehensive reports Desirable Experience in advanced computational work involves protein structure prediction
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processing (e.g., heat treatments) can have on their structure and properties, and (iv) how WELs differ in different aerospace steel grades. This PhD project will seek to address these gaps. The project will
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Autonomy in Demanding and Long-Lasting Environments - https://cradlerobotics.co.uk/ ) and will work closely with Work Package 2 (Architectures) and Work Package 5 (Demonstrators). With support from
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well as the constructed Brain Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ). For more details of the School’s research activity, please visit our
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships