106 parallel-processing-bioinformatics-"https:" Fellowship positions at University of Nottingham
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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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, Nottingham Hospital Charity. The research is largely laboratory based using cell lines and primary myeloma samples, with some bioinformatics analysis. The role holder will be expected to plan, conduct and
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Applications are invited for a Research Fellow post on a Medical Research Council funded project in the laboratory of Dr Rachel Clifford (Biodiscovery Institute) https://www.nottingham.ac.uk
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the project. We are particularly seeking applicants with expertise in molecular and cellular biology, proteomics, bioinformatics, or a closely related field. Candidates should hold (or be close to completion
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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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bioinformatics analysis. The role holder will be expected to plan, conduct and analyse research using appropriate approaches and techniques, and will be responsible for writing up the results for publication
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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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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and