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the academic promotions process. About You Completion or near completion of a PhD in genomics, bioinformatics, or a related field relevant to genetic mapping; or completion of a Diploma with relevant work
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Fellow (Level B) with expertise in microbial genomics and bioinformatics. This position offers an exciting opportunity to contribute to world-class research aimed at sustaining marine ecosystems through
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at our St Lucia campus About This Opportunity The Advanced Materials Processing and Manufacturing (AMPAM) research group within the School of Mechanical and Mining Engineering is seeking a Research Fellow
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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collection, DNA preparation, long-read sequencing and development of bioinformatic analysis pipelines. Undertaking innovative research to identify resistance alleles and contribute to theoretical advancement
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highly automated workflow. This means rather than having a researcher building one strain at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic
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experience in mammalian cell culture, organoid culture and analysis, and stem cell biology. Strong skills in molecular biology, next-generation sequencing, bioinformatics, general microscopy and confocal
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
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computer vision, including experience with semantic segmentation, multiple object detection, classification, or vegetation/weed identification using frameworks such as PyTorch or TensorFlow. Proven ability
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approaches to advance research in melanoma and cancer biology. A PhD in spatial transcriptomics, computational biology, bioinformatics, or a related discipline, with demonstrated research experience in