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apply Overview About the Role This is a fully funded project for 2 years including PhD fees for a doctor in training interested in a career in academic dermatology to undertake a PhD. A third year of
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. Examples of these include, but are not limited to, the following topics: Machine Learning and Data Mining Algorithms, Algorithmic Game Theory and Mechanism Design, Computational Biology and Bioinformatics
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have PhD in Microbiology, Genetics or Bioinformatics. Applicants must have experience in Oxford Nanopore technologies and Illumina sequencing and analysis. Applicants must also have excellent
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aim of our courses and training is to further understanding, research and career development in the field of cancer. About You The successful applicant will a PhD in genomics or bioinformatics
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atherosclerosis. The successful applicant will possess a PhD in a relevant subject such as biological science, have at least two years of post-doctoral experience, and have extensive "hands-on" experience of single
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sequencing, RNAseq and/or ATACseq datasets, as well as functional in vitro assays. You will hold a PhD (or be close to completion – thesis submitted at time of application) in a related biomedical science
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available from 1 July 2024 until 30 November 2027. You should have a PhD in bioinformatics, or computer science as applied to biological data or other relevant areas (or other equivalent qualification
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aim of our courses and training is to further understanding, research and career development in the field of cancer. About You The successful applicant will a PhD in genomics or bioinformatics
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-0002-2331-4729 Key Experience and Competencies Qualifications, experience and competencies PhD in relevant subject area or in the final stages of PhD submission Good knowledge and experience in cancer
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bioinformatics, health data, data science, statistical modelling and/ or artificial intelligence. In this role, you will focus on alcohol use disorder, which is a common problem (1 in 5 people are alcohol