560 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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Application deadline: 09/02/2026 Research theme: "Organic Chemistry", "Catalysis", "Synthesis", "Drug Discovery" This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate
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PhD Studentship: Building Brain Circuits: decoding RNA processing in the developing mammalian cortex
an exciting area of neurodevelopment, and to gain essential research skills. We encourage students interested in neuronal cell biology, neural circuits and developmental neuroscience to apply.
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable records that can systematically inform preparedness, training and future...
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Major incidents place exceptional demands on health, emergency and public protection systems, requiring rapid, coordinated action across Category-1 responders, including the NHS, local authorities, emergency services and public health agencies. Despite repeated policy emphasis...
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at The University of Manchester and The National Centre for Atmospheric Science (NCAS) showed the fundamental cause of high emissions was identified as dry fuels burning ‘rich’, but the project only used one
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like functional metagenomics to investigate pathogen virulence and plasmid-chromosome associations. You will gain a unique interdisciplinary skillset: Molecular Biology: DNA extraction, host depletion
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter
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apply a broad range of research methods including advanced statistical methods, computational modelling and experimental design, with the aim of generating policy-relevant evidence. The student will work
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to become an intrinsic part of the global integrated energy system. However, this kind of technology has not yet achieved widespread commercial adoption due to electrochemical systems’ reliability, safety
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves