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Field
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strategies of patient care. To do this, advanced molecular, sequencing and bioinformatic tools will be utilised alongside clinical data that will provide a link between the genomic and epidemiological data
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bioinformatics facilities and a state-of-the-art Endoscopy Unit, one of the largest in Europe, performing at least 40,000 endoscopic procedures a year. The PhD candidate will work wtihin a multidisciplinary team
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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect
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techniques such as immunohistochemistry and H-scoring, histopathological analysis, RNA sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working
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including, DNA isolation, library preparation and sequencing as well as bioinformatic skills to analyse the acquired sequencing data. The project will be carried out under the supervision of Dr Rushworth
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master’s degree in a relevant discipline that include Applied Mathematics, Biophysics, Bioinformatics, Computational Biology, Biomedical Engineering and appropriate English Language qualification. Please
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, and from the experience of generating and communicating data to diverse stakeholders. You will develop skills in study design and state-of-the-art bioinformatics, statistics and genomic epidemiology
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of these complex, multi-omic single cell and spatial transcriptomics datasets and is therefore ideal for those with an interest in computational biology, bioinformatics, computer sciences and/or genomics
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. The project is therefore suitable for students with a background in (but not limited to): • Applied Mathematics or Theoretical Physics • Computational Biology or Bioinformatics • Computer Science or Engineering
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LevelBachelor Degree or equivalent Skills/Qualifications Candidates must hold a recognised master’s degree in a relevant discipline that include Applied Mathematics, Biophysics, Bioinformatics, Computational