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geometries while delivering graded biomechanical support for key tasks like pinching, grasping, and extension. The PhD student will work on two key objectives: 1. Develop a novel method to link the geometry
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their practical deployment. The Project: This PhD will develop the science and engineering required to overcome these bottlenecks, with the following objectives: • Uncover the mechanisms driving enhanced hydrogen
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the feasibility of a culturally tailored cancer prehabilitation for South Asian communities through our partnership with Prehab4Cancer. Project aims and objectives The aim is to develop and test the feasibility
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visualization, wearable and immersive displays, virtual and augmented reality technologies, eye-tracking and HCI design solutions. The project looks at new methods to increase tele-presence and situational
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
symbiosis, through of co-location of several Breathaboard processes, enhancing both efficiency and sustainability. The PhD will focus on three key objectives: Investigate Microstructural and Chemical Changes
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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objectives, outline methods statement, and anticipated timeline. The proposal should use consistent academic citation. Applications not including a research proposal cannot be considered for award
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
deployment of Carbon Capture Utilisation and Storage (CCUS) is critical for achieving the UK's net-zero target set by the Climate Change Act (2008). With commercial agreements in place for two Track-1 clusters
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development. Objectives: Create realistic pollutant exposure samples representing indoor and outdoor pollutant (mixtures) using an established model of the human alveolar epithelial barrier. Apply multi-omic
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to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change