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bioinformatics approach to start to answer some of the questions we do not know in relation to equine EIPH. Supervisors:Dr Susan Armstrong and Professor Kalaman Jeevaratnam Entry requirements Open to candidates
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analysis. Profile Essential You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent. Background in AI (deep learning
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sits between data collection and bioinformatics and data modelling This will require someone with an interest in data analysis and experience of scripting. The role will require working closely with
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for spatial omics data analysis. Profile Essential You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent. Background in
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adaptation in pine and spruce and to develop tools for assessing drought tolerance. Qualifications: We are looking for someone interested in forest genetics, bioinformatics, tree physiology (drought), and
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oncology? Are you passionate about complex biological mechanisms, interested in bioinformatics, and work in the clinic? Do you want to work within an ambitious and multidisciplinary research team? We
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, and efficiently communicate to the public key emerging issues related to this research and how they can impact society. Selection Criteria Previous training and experience in Bioinformatics
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and seedlings, molecular work, and bioinformatics on genome and transcriptome level to identify key genes related to drought resistance in the genus Suillus. You will also perform an analysis
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work, with skills in the programming language R, or with other bioinformatics skills will be preferred. Prior experience with functional genomics (e.g. RNA-seq, ATAC-seq, ChIP-seq, scRNA-seq) is
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. Skills in experimental genetics, molecular and cell biology, genome-wide association analysis, infection models or bioinformatics will be beneficial. The research will use rodent malaria models in