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Field
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the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
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to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
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to work in the UK. We are unable to offer visa sponsorship for this role. Candidate requirements Applicants should have a strong undergraduate (ideally Master’s) degree in computer science, physics
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sponsorship for this role. Candidate requirements Applicants should hold (or expect) a first or upper-second class UK honours degree, and ideally a masters degree, in computer science, data science, artificial
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a As antibiotic resistance threatens modern medicine, phage therapy is emerging as a powerful new weapon against bacterial infections. These naturally occurring viruses selectively destroy harmful...
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Applications are invited for an EPSRC Industrial Doctoral Landscape Awards (IDLA) PhD position at the University of Nottingham addressing the specific engineering details of the wear of articulating
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge