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research topics in the group: Understanding the dynamics of charge/discharge processes in electrolyte and ionic liquid systems [see, e.g., Pireddu et al., PNAS 121, e2318157121 (2024)]. Developing new
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(2020)]. The expected candidate will also be expected to engage other research topics in the group: Understanding the dynamics of charge/discharge processes in electrolyte and ionic liquid systems [see
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Professor Andrei Krokhin. The aim of the project is to understand the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly
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the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly suitable for researchers in mathematics and theoretical computer science
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Krokhin. The aim of the project is to understand the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly suitable
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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Focus Areas: Synthesis, Catalysis and Process; Sustainable and Resilient (Bio) Chemistry; Materials Discovery; Theory, Computational and Data-Led Chemistry, Soft Matter, Polymers and Interfaces; Chemical
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, remanufacturing, repair etc.) for the parts and materials extracted from space objects including the timing of such interventions considering the value of the materials, costs of extraction and processing, and
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Change. Within these themes, we have prioritised eight core Research Focus Areas: Synthesis, Catalysis and Process; Sustainable and Resilient (Bio) Chemistry; Materials Discovery; Theory, Computational and
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to attend in person on the date offered, it may not be possible to offer you an interview on an alternative date. Please note that in submitting your application Durham University will be processing your data