379 software-verification-computer-science-"insights"-"Washington-University-in-St" positions at University of Cambridge
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the potential to reveal fundamental insights into gene expression and microbial adaptation, based in the Department of Pathology at the University of Cambridge under the supervision of Dr Betty Chung (https
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Fixed-term: The funds for this post are available for 18 months in the first instance. The University of Cambridge's Information Services is seeking an experienced Senior Software Developer to play
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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) science missions, Gaia and Plato. The successful candidate will work within CAMCEAD's Gaia and Plato software development teams. The role will focus on development of on-ground data processing software
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Research Infrastructure? No Offer Description Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer Science
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including a proposed MSt in Data Science and a potential apprenticeship programme. You will work closely with Dr Ali Al-Sherbaz, Academic Director for Digital Skills, to grow and sustain a dynamic portfolio
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the Department of Computer Science and Technology at the University of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under
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degree aimed at professionals with at least two years of successful work experience in finance and a strong academic record. The programme is consistently rated number one or two globally by the Financial
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience