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on these small length scales is fundamentally different to that when we swim. By characterizing their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will
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heavier than their fossil fuel powered counterparts. A framework that can accurately model complex dynamics and generate projections for future scenarios is essential for understanding the impact of changes
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Project summary: A PhD student is sought to undertake a project jointly funded by University of Strathclyde and National Manufacturing Institute Scotland project. The project aims at researching a
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, healthy communities (Beth Johnson Foundation, 2009). Community sport is a distinct, often multigenerational, cultural practice, providing a hitherto untapped potential for advancing intergenerational
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques
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The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects the health of children and adolescents, including their mental health with the aim of creating healthier
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project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part of a dynamic doctoral cohort. This unique opportunity provides the successful candidate with the chance
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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discharges. Complicating the understanding of these systems is the fact that predicting their evolution requires an understanding of multi-component transport phenomena, multi-phase evolution dynamics, solid
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions