53 postdoctoral-image-processing-in-computer-science PhD positions at University of East Anglia in United Kingdom
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Atmospheric Observatory (weybourne.uea.ac.uk ) and the Heathfield Tall Tower in the UK, you will: Disentangle atmospheric signals into anthropogenic and natural processes (1, 2) to quantify ffCO2, making use
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targeted must be extremely potent and are often natural products that, on their own, are too toxic to be used. In this project, we will use synthetic chemistry, both in solution and on solid phase, to design
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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converting a widespread pollutant, nitrate, to a valuable fertiliser and chemical feedstock, ammonia. Harnessing sunlight as an abundant and sustainable source of energy to drive the upcycling of waste
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Primary supervisor - Dr Myriam Charpentier Are you passionate about plant biology, endosymbiosis, system biology or bioengineering? Join a cutting-edge research project exploring how plants
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: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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in RNA biology, biochemistry, and Oxford Nanopore sequencing. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry
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. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
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their host plant. Use cutting-edge molecular biology and genomics, we will try to solve a decades-old mystery in plant pathology. Many plant disease-causing fungi lose their ability to cause disease