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and research in population genomics, ecogenomics, genetics, epigenetics, bioinformatics, and related areas. The appointment will strengthen the Department of Biology's research in evolutionary biology
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genomics, ecogenomics, genetics, epigenetics, bioinformatics, and related areas. The appointment will strengthen the Department of Biology's research in evolutionary biology, environmental adaptation
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population genomics, ecogenomics, genetics, epigenetics, bioinformatics, and related areas. The appointment will strengthen the Department of Biology’s research in evolutionary biology, environmental
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combination of training and experience demonstrated experience developing and delivering training in AI, bioinformatics, or digital life sciences strong working knowledge of AI, data science, and computational
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bioinformatics tools for genome and metagenome analysis. This position will leverage AI, protein language models, and structural predictions to annotate unknown phage and microbe proteins, and create HPC-optimised
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, electrophysiology, FACS, biophysics, bioinformatics, transgenic core, and animal facility) that provide state-of-the-art resources and key technical expertise to support the Institute’s research. Currently, several
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, bioinformatics, and advanced engineering, while operating entirely on renewable energy and preserving data sovereignty within Australia. As we build and bring MAVERIC into operation, we’re seeking a top-tier
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findings with bioinformatics analyses such as motif discovery and comparative genomics. Collaborate with Chief Investigator, students, and partners to deliver impactful research outcomes. About You You are a
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Associate will: Conduct molecular biology and protein-DNA interaction experiments (e.g. EMSA, protein purification, functional screens). Integrate laboratory findings with bioinformatics analyses such as
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extracellular vesicles for predicting and monitoring response to immune checkpoint blockade in melanoma and lung cancer. Desired skills: It is expected that a suitable candidate has a background in bioinformatic