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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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Centre (AusSRC) is Australia’s portion of this international network, tasked with establishing and building capability to support the Australian and international SKA science communities, thereby ushering
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of the immense amount of data that will be flowing from the telescopes, the SKAO is working with science communities across the world through SKA Regional Centres (SRCs), which are nationally lead hubs that form
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI
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a particular emphasis on neuroscience, mental health, and cancer. We are creating a vibrant community of researchers across both academic and biotech sectors engaged in major research programmes which
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project ‘The Cerebra Network’, funded by Cerebra. The Research Fellow will be split 50/50 between the two projects for the first three years (overall 1.0 fte), and then work solely on the Cerebra Network
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on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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The Researcher will work with community organisations, businesses, local authorities and Governments across the UK to understand how systems approaches can unlock sustainable Net Zero solutions