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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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will be required to take a leading role across multiple projects, with support from other members of the team. Project topics are agreed with the funders in accordance with their priorities. KIS is a KHP
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research aligned with the Materials, Concepts and Reaction Engineering Group [1]. As this position will be funded by a specific research grant [2], you must have experience in laboratory experiments with ion
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chromatin accessibility. You will contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students
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(e.g. nanopore-based sequencing, reverse genetics, immunoblotting, luciferase-based assays, RT-qPCR, microscopy) to study virus evolution and innate/adaptive immunity in the context of viral infection
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be ideally be proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and
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, broth microdilution, cloning, DNA extraction and metagenomic sequencing. You should hold an undergraduate degree or Master’s degree in a relevant subject (microbiology, biological sciences, or a related
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the work of others and act as team leader as required. The successful applicant will possess sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational
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(e.g. nanopore-based sequencing, reverse genetics, immunoblotting, luciferase-based assays, RT-qPCR, microscopy) to study virus evolution and innate/adaptive immunity in the context of viral infection