75 parallel-processing-bioinformatics research jobs at University of Cambridge in United Kingdom
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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bioinformatics. The Department's research strengths currently lie in behaviour and neuroscience, conservation science, ecology and all aspects of evolutionary biology. How to apply for sponsorship Please address
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Assistant will, in particular, support ongoing efforts within the HEAT project (including updating the framework as further EU guidance gets released and building a parallel framework for engaging civil
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datasets. This includes the processing and quality control of whole-genome sequencing data, methylation data, and RNA-sequencing data, as well as the development and application of computational methods
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knowledge of mitochondrial metabolism. The post holder will have excellent laboratory skills. Skills with purification of proteins and in vitro biochemical reactions is essential. Bioinformatic analysis
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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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transposable element biology. They should be able to develop and apply at scale bioinformatic tools that identify and classify transposable elements, and the variation they create. Solid experience in
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. Experience of working with industry partners and collaborative working will be extremely valuable but is not essential. Similarly, prior experience with spatial biology, omics or bioinformatics would be
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running in nanoflow for untargeted peptidomics and proteomics analyses. This system is used to generate proteomics and peptidomics datasets that are searched with the PEAKS Bioinformatics software package
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communication skills and co-ordinate activities in a highly interdisciplinary team. Expertise in cell biology, bioinformatics and omics techniques are essential, as well as management and team building skills