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described by patients, there are few interventions that are currently in place to support recovery. To determine how to best intervene in a cost-effective way, we need up to date cost estimates and quality
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, industrial and grid-level power electronics. The purpose is to improve the electric vehicles and the UKs energy infrastructure as we move into a low carbon economy. A paradigm shift in technology will be
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: · search for the ‘Course Title’ using the programme code: 8030F · Research Area: Chemical Engineering · select ‘PhD Chemical Engineering (full time)’ as the programme of study You will then
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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://www.birmingham.ac.uk/research/centre-for-neurogenetics/centre-for-neurogenetics Key Techniques: Organotypic brain slice culture Immunohistochemistry and confocal imaging qRT-PCR and Western blotting Immuno-metabolic
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described by patients, there are few interventions that are currently in place to support recovery. To determine how to best intervene in a cost-effective way, we need up to date cost estimates and quality
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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y Positions Available: We are hiring for two positions under this role, each with a
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: · Search for the ‘Course Title’ using the programme code: 8090F · Research Area: Mechanical Engineering · Select ‘PhD Mechanical Engineering (full time) – Mechanical Engineering' as the programme
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Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect