57 postdoc-parallel-computing research jobs at University of Cambridge in United Kingdom
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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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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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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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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
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. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila
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developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate