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will develop bioinformatics tools, workflows, and cloud-based infrastructure to support genomics and multi-omics data analysis across FMI projects. Working closely with biologists, bioinformaticians, and
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pipelines in R, Python and HPC or cloud environments. Collaborate with developmental biologists to interpret genomic findings, validate results and address key evolutionary questions. Support and mentor PhD
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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sharing and integration of systems. This role focuses on innovative solutions leveraging cloud and edge technologies, enhancing data connectors, and pushing the boundaries of data integration. You will play
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description here About you You will have: PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics, computer science, or a related field* Strong analytical, quantitative
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. Click to see the full job description Click to find out more about the F Rouhani Lab About you Essential: (Minimum criteria*) PhD (or near submission) in computational biology, machine learning