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mechanics, corrosion, multiphysics modeling and microstructural characterisation. The candidate must be enthusiastic about working as part of a team and collaborating with national research facilities and
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or international equivalent, in Statistics, Mathematics or a related subject with a strong statistical component A relevant Master’s degree is advantageous. Applicants whose first language is not English require
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of the effective cooling systems. For example, cooled cooling air offers the opportunity to improve the fuel efficiency of future ultraefficient engines which are a vital component of the UK's strategy to achieve
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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testing. We aim to develop next generation electrochemical energy technologies through holistic views of ammonia/methanol fuel cells and metal and metal ion (Li, Na, Ca etc.) batteries, from the nanoscale
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performance of nuclear power plants. By characterizing CRUD layers through microstructural, compositional, and topographical analyses, the research endeavors to advance knowledge in the field, offering critical
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and training activities that will contribute to developing professional networks. Understanding the growth of surface oxide films on/in multi-component metallic substrates in electrolyte media is of
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) to characterise the lithic component of these events. Eligibility Applicants should have a first or upper second class honours degree in Geology/Earth Sciences or a similar subject and/or a relevant Masters
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model