809 postdoc-in-distributed-systems-and-controls-"Multiple" PhD positions in United Kingdom
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control of the electrical power system for aircraft applications, ensuring system stability across a wide range of nonlinear loads and operating conditions. Aim You will have the opportunity to research and
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towards sustainable flights. However, there are significant challenges in achieving net zero. This project will explore approaches to achieving robust control of the electrical power system for aircraft
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investigate which local biotic and abiotic factors control the extent of LWS-related biodiversity and habitat improvements across a range of different UK river systems. Project aims and objectives Carry out a
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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available from October 2025 under the supervision of Prof. Helfrid Hochegger and Dr. Tony Oliver, at the Genome Damage and Stability Centre, School of Life Sciences. Deadline: 06th of June 2025 PROJECT TITLE
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us In April 2024, IoPPN, King’s College London established a national Population Health Improvement Cluster (PHIC) with a focus on mental
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Floor System Research area and project description: Composite steel and concrete floors have proved popular over the last thirty years within the UK, which has largely accounted for the dominance of steel
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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optimisation algorithms to dynamically reconfigure the substation/distribution network settings to enhance the system efficiency. The optimisation algorithms will incorporate the uncertainties associated with