293 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at University of London
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detector. Our experimental and theory dark matter researchers also benefit from synergy with our Low Temperature facilities within the context of Quantum Technology for Fundamental Physics. Our Centre is
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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View All Vacancies Pathobiology & Population Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £35,311 to £40,528 Per Annum Including London Weighting Fixed Term / Part Time Closing Date
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to the research active PIs at LSHTM, with a view to selecting the focus for building their program of research. S/he will be expected to apply for research funding e.g. through the Academy of Medical Sciences
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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polymers, foams and composites The role is highly hands‑on and creative: you will manufacture new polymer formulations, refine processing routes, and carry out mechanical, fracture, thermal and
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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academia. The programme aims to train GP Fellows in health data science, research methods, and the clinical effectiveness approach, to develop them into future academic GP leaders. The post will be split 50