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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
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Assistance Programme On-site parking To download an application pack please visit www.emma.cam.ac.uk/about/jobs .Completed applications should be marked ‘Strictly Private & Confidential’ and sent via email to
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational
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experience of students by offering guidance to academics, departmental administrators & computing officers, and provide systems advice to management and university governance groups. You will play a vital part
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establish an independent research program that will complement that of other groups within the Centre for Trophoblast Research. Fellows will be expected to contribute fully to the activities of the Loke CTR
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council...
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will help us in delivering world class services. Who you'll be working with The role is based in the University of Cambridge's Research Computing Services, a leading UK National Supercomputing Centre
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computational phenotyping methods. The post-holder will also be responsible for the organization of experiments assessing interactions with viral pathogens and beneficial microbes. We are seeking to appoint