476 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions in United Kingdom
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Please note, this post is permanent and full-time at 1 FTE. The University of Lincoln is seeking to appoint multiple dynamic and proactive Post Doctoral Research Associates to join the Lincoln
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contributions to work in climate change, disasters, smart cities, risk regulation, water, human migration and land surface processes related to for example agriculture, forests and landscape fire. We are also
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of techniques that encompass microbiology, biochemistry, metabonomics, bioinformatics and gut modelling. It will require a skilled postdoctoral scientist who will be familiar with such methods or is
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management, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available as soon as possible. Application
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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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understanding of fundamental biomedical processes, scientists at the Max Perutz Labs aim to link breakthroughs in basic research to advances in human health. The Max Perutz Labs are located at the Vienna
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit