518 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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University Belfast (materials synthesis & device test), University of Exeter (ultrafast optical characterisation), University of York (theory & simulation) and Seagate Technology (device fabrication & test
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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
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working in science. The University is committed to ensuring that we sustain a positive working environment for all staff to flourish and achieve. As part of this commitment, the University has developed a
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program, and four PGT programs. We specialise in the relationship between culture, media and the creative industries and as such, foster a highly interdisciplinary teaching and research environment. Our
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environmentally sound management of the materials contained in lithium-ion batteries. Researchers at the University of Birmingham will be investigating separation technology efficiency and characterisation
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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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at Leeds and Reading are also members of the National Centre for Atmospheric Science (NCAS). The successful candidate will be fully integrated into this consortium, as well as becoming a member of the UKESM
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve