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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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related to early detection and chromosomal instability in cancer. A background in computational biology, mathematics, or computer science is preferable, though we welcome applicants with relevant biological
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Sciences; Molecular Genetic and Population Health Sciences and Clinical Sciences and the Royal (Dick) School of Veterinary Studies. The undergraduate medicine teaching programme in the College enjoys a high
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, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will be
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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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https://www.lifearc.org/project/lifearc-translational-centres-for-rare-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering
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Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in one of the following topics will be a plus:· Working knowledge of MATLAB
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. For more details please visit: https://warwick.ac.uk/fac/cross_fac/mibtp/ or https://www.birmingham.ac.uk/about/college-of-life-and-environmental-sciences/midlands-integrative-biosciences-training
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National