90 algorithm-development-"Multiple"-"Simons-Foundation" research jobs at University of Cambridge
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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. The postholder will develop, refine, and execute imaging analysis pipelines, both independently and in conjunction with other data, such as clinical outcomes, to establish meaningful relationships. Analysis
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development of grant applications and to support grants post award, maximising income and mitigating risk, using University systems such as Worktribe, CHRIS and CUFS be an excellent communicator with
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://www.aria.org.uk/opportunity-spaces/nature-computes-better/scaling-compute/ The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. At the lowest level
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projects developed in the laboratory. Fixed-term: The funds for this post are available for 24 months in the first instance. Once an offer of employment has been accepted, the successful candidate will be
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communication skills and excellent written English skills. Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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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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at the new Whittle Laboratory. You will support the development of world class high TRL turbine testing. For this role, you will have experience in a wide range of engineering disciplines and have a proven
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. Contribute to grant writing and securing funding for ongoing research projects. Development of Novel Approaches: Contribute to the development of innovative methodologies and experimental approaches to better