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to learn advanced skills in bioinformatics including the use of the command-line is essential. The PhD student will be based in the Quadram Institute building located on the Norwich Research Park, where
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the creation of spin-off companies. Job Description We are looking for a highly qualified and scientifically proven personality who will represent the field of bioinformatics in research and teaching in
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highly motivated individual passionate about exploring the principles of immune system function through cutting-edge bioinformatics approaches. The candidate applying must have a master’s or PhD degree in
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have a PhD or equivalent research experience in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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presentations, and grant applications. Maintain well-documented, reproducible code and share data/tools when appropriate. Qualifications Requirements for employment are: PhD in Bioinformatics, Computational
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, Epidemiology, or related field (Required) Master's Degree in Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field (Preferred) PhD in Biostatistics, Statistics, Bioinformatics, Epidemiology
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instructors work under the direction of the director with support from a faculty lead and will hold office hours as appropriate. Qualifications PhD in bioinformatics, biology, or a closely related field
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sustainable plant protection. A PhD in bioinformatics, genomics, microbiology, plant pathology, or a related field is required. Candidates must have demonstrated expertise in genome and/or transcriptome
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at the molecular and cellular levels to global processes at the ecosystem level. The subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many