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This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors...
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. You will have the opportunity to work with students and postdocs from the Kennedy’s world-leading research groups both to provide bioinformatics training and to make contributions to publications in
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relevant topic, relevant experience in bioinformatics, computational biology or machine learning, proven ability to work independently, as well as collaboratively as part of a research team, and proven
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workshops to enhance the collaborative network. Applicants should have a postagraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in bioinformatics, computational biology or
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bioinformatics, and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. They will be able to work collaboratively, supervise others and act as team leader as
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Faculty of Health and Life Sciences This new full time post is available immediately on a 3 year fixed term basis. Summary of the role The Faculty wishes to recruit a Postdoctoral Bioinformatics
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We are seeking a postdoctoral researcher with expertise in molecular/genetic epidemiology and bioinformatics. The successful candidate will join the Data Mining Epidemiological Relationships
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Understanding Autism Spectrum Disorders at the epigenetic and metabolomic level Applications are invited for an enthusiastic Postdoctoral Research Fellow in molecular bioscience and bioinformatics
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Spectrum Disorders at the epigenetic and metabolomic level Applications are invited for an enthusiastic Postdoctoral Research Fellow in molecular bioscience and bioinformatics to join our multidisciplinary
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manuscript submissions Opportunity to mentor students Person Specification: Postgraduate degree in Bioinformatics, Computer Science, or related field Experience in machine learning models development Skills in