11 postdoc-distributed-algorithms PhD scholarships at University of Exeter; in United Kingdom
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at scale raises privacy and real hardware constraint concerns. This PhD will focus on those challenges by developing a distributed, privacy-preserving NILM framework, so we can move from small research
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action discretization, exploration parameters, and decision intervals significantly affects algorithmic convergence and system performance. Distributional RL techniques, such as quantile regression and
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predictive performance, computational efficiency, and spatial resolution through algorithm optimisation, tuning, and refined covariates. Assess trade-offs between spatial resolution and other performance
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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models optimised with evolutionary algorithms to address combinatorial optimisation in model design and the noisy nature of climate data. The Doctoral Researcher will receive on-the-job training in machine
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Methods Recent storms have exposed the vulnerability of power systems, creating pressures at local distribution and national transmission levels. In power systems, different parts work on very different
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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, materials, land and agricultural stocks and flows and their distributions. Considering how councils in partnership with civic society and businesses can better consider quantitative and qualitative data