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/applicants/english/ ). Funding information: The studentship is for 3 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus tuition fees at the UK rate. Due to
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an industry partner you will conduct a series of investigative processes (e.g. systematic reviews, meta-analyses, observational and intervention studies), to evaluate the efficacy and current usage of different
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only | £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity
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technology. Working at the interface between soft robotic engineering and psychological science you will be expected to design and make devices, design and run behavioural experiments and surveys, analyse data
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for vulnerable populations through evidence-based approaches. For further information about the application process, please contact the Admissions Team For further information about the project, please contact
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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research
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grant Specified use +3 - to cover the full PhD Humanitarianism & Conflict Response programme Tenable period 3 years full-time or 6 years part-time. Continuation of award Continuation of the award is
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simultaneous data acquisition with fluorescence live-cell microscopy. This PhD position offers the opportunity to develop technologies for acquiring novel data on cancer tissue biomechanics—information that has
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems