53 postdoctoral-image-processing-in-computer-science PhD positions at University of East Anglia
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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pain, diarrhoea, and weight loss. There is no cure, and many patients require surgery. In addition, current therapies with anti-inflammatory or immunosuppressive drugs are associated with severe side
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at the John Innes Centre, providing opportunities to develop extensive skills in a breadth of areas, including field surveys, plant pathology, molecular biology, and computational biology. Additionally, you
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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excellent training in molecular biology, environmental microbiology and bioremediation science. The combination of transferrable, technical skills associated with the project will make the successful
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improvements of the lives of a huge number of men. Techniques and skills training During the PhD you will become an expert in a range of molecular biology, biochemistry, cell and cancer biology techniques
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Start date: 1st October 2026 Funding This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees and an
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specification We are looking for a pro-active, highly motivated student. The successful candidate should have a strong background in microbial, soil or environmental sciences (e.g., BSc/Masters in Microbiology
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prediction model – the Met Office Unified Model – and in the use and analyses of the latest climate model output. Person Specification A degree in a quantitative science. An interest in data analysis and