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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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of Psychology at Durham University. The successful candidate will join the research project Flexibility of predictive processing in scene viewing and representation. This project is led by Dr Sara Spotorno and
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by Professor Yaodong Wang. The successful candidate will help develop such a new prototype MC which can be coupled with the LFPE. The project is being carried out in collaboration with an SME, and the
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of the MC and then the whole MC-LFPE system. The research project is led by Professor Yaodong Wang. The successful candidate will help develop such a new prototype MC which can be coupled with the LFPE
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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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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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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
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used in the study of ultracold gases, including the operation of magneto-optical traps, the production of quantum degenerate gases and optical trapping using optical tweezers/lattices. They will be