122 computer-science-intern "https:" "https:" "https:" "https:" positions at University of Sheffield
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digital manufacturing). You will gain hands-on training across molecular biology, bioprocessing, materials chemistry, computational modelling, and cell biology. This interdisciplinary skillset will prepare
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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BBSRC Yorkshire Bioscience DLA Programme: Engineering Stomata: How Shape Informs Function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Andrew Fleming, Prof
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natural history (evolutionary biology, ecology, macroevolution and macroecology) and in using computational methods to answer fundamental biological questions. The student should be comfortable and
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr M Val Martin
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laterally acquired genes linked to seed oil production. The project blends computational biology, epigenomics, and plant functional genetics, offering training in cutting-edge approaches from genome analysis
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ACCE+ DLA Programme: Uncovering the drivers of diversity in tropical savanna forests School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof R Freckleton, Dr
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or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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science, has a quantitative mindset and enjoys experimental biology. For informal enquiries about the project, please contact Dr Mirre Simons Link to website: https://sheffield.ac.uk/biosciences/people
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expertise on embryo-uterine interaction and computational analyses. For informal enquiries about the project, please contact Dr Adam Watkins (a.watkins@sheffield.ac.uk) Link to website: https