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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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. Peter Davies-Peck. The successful applicant will conduct research into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted
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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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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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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
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the operation of magneto-optical traps, the production of quantum degenerate gases and optical trapping using optical tweezers/lattices. They will be expected to display initiative and creativity, along with