231 postdoc-in-postdoc-in-automation-and-control-"Multiple" PhD positions in United Kingdom
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, randomised controlled feasibility trial to examine the feasibility and acceptability of the programme, collecting both quantitative and qualitative outcome measures. For informal enquires please contact: Dr
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sovereignty and empower individuals by allowing them to take back control over their data. However, the process of implementing data governance in a decentralised setting, especially when AI is involved, brings
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good partnership with the appropriate technical teams. Joint academic and industrial supervision. In this way, the student will develop both academic and industrial skills with multiple career
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appropriate technical teams. Joint academic and industrial supervision. In this way, the student will develop both academic and industrial skills with multiple career opportunities at the end of the PhD study
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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the needs of marginalised populations? If this sounds of interest, then we would welcome your application. In this role, you will work across several projects including- a randomised controlled trial of
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engines. The variable rotation speeds, complex loading and operating conditions cause significant blade vibrations. These vibrations, if not properly controlled and reduced, can lead to premature blade
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occurs. Insights from this research could greatly advance our understanding of AQP biogenesis and ER quality control. By identifying factors that promote proper folding and conditions that cause misfolding
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their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will explore ways to control their motion in 3D space. Synthetic microswimmers have many potential
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will