58 parallel-and-distributed-computing research jobs at University of Cambridge in United Kingdom
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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excited by the opportunity to grow alongside a developing research programme. Our laboratory is based in the Cambridge city centre, and we work in several lab spaces shared with other groups within
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is to design and develop analytical, computational, and mathematical methods to understand the fundamental processes that govern the evolution of antigenically variable viruses. Our research is highly
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of Prof. Frank Verstraete. Duties include undertaking your own program of research and assisting with ongoing research programmes; writing up results for publication; and presenting your work to colleagues
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, and the results interrogated using the Perseus program. The third system is a Waters TQ-XS triple quadrupole with an M Class LC system. The instrument has a normal source interface, an IonKey source and
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Strategic Center of Research (SCOR) at the Department of Haematology. The SCOR is led by Professor George Vassiliou and is conducting research to develop a clinical programme for myeloid cancer prevention
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local contexts. The successful candidate will be encouraged to contribute to all components of the group's programme but will be expected to i) map the range of primary and community health services
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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of Computer Science at the University of Cambridge. The research group focuses on the computational tooling and mathematical foundations of higher category theory, and its applications in computer science, mathematics
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is