82 parallel-processing-bioinformatics Fellowship positions at University of Nottingham
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate mating and
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate the sexual
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generating DNA cytosine modification dysfunction in IPF, and potential targets for therapeutic interference in IPF development. Applicants must be highly motivated and self-driven, with a PhD in bioinformatics
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bioinformatic techniques to investigate mating and its consequences between strains of Candida albicans, a common cause of fungal infections in humans. Specific aims are to investigate the ability of strains from
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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classical, genomic, molecular and bioinformatic techniques to investigate the sexual biology of Aspergillus fumigatus, a principal cause of aspergillosis disease in humans. Specific aims are to understand
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early
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. Another objective is to study the materials properties (including microstructures, micro/macro mechanical performance etc.) influenced by the advanced manufacturing process. The successful candidate will be