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Field
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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includes a diverse team of researchers working on crop breeding, genomics, genetics, curation, and bioinformatics. This is a benefit eligible, non-tenure track position available for two years. The project
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available immediately on a fixed-term basis for two years in the first instance, with a possibility of extension. The successful applicant will perform laboratory-based research and bioinformatic analysis
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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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flexibility for weekend/evening hours as required for experiment needs. Qualifications Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics