20 computer-science-image-processing PhD positions at University of East Anglia in United-States
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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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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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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the economics and sustainability of UK marine resources, and to identify trade-offs for policy and management interventions. This project is part of the Forecasting Tipping points In Marine Biogeochemistry and
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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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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
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UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Biological Science or equivalent
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of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Biology/Ecology degree (or related), including genetics, genomics, evolution, and/or conservation, and with data handling