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, machine learning, and causal inference frameworks that link genetic variants to cellular mechanisms and therapeutic opportunities. Our research spans immune biology, cardiac disease, neurodegeneration, and
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an opportunity for a Postdoctoral Fellow. In this role, you will conduct both independent and collaborative research to advance expertise in electric machine design and optimisation, with a focus on permanent
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individuals. iPSC “Village” systems and CRISPR perturbation to experimentally dissect and validate gene function in controlled, scalable cellular models. Advanced computational genomics, machine learning, and
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focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group At UNSW, you will join a vibrant materials research community within the School of Mechanical and Manufacturing Engineering and the
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contributions to sea level rise with improved accuracy. You will have a passion for Antarctica and quantitative skills that include programming and machine-learning or numerical ice sheet modelling. As the
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page. Why
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experience experience in molecular biology or genetic engineering techniques ability to learn how to conduct protein purification and characterisation ability to operate and maintain biological equipment (e.g
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culture that encourages growth, innovation, and meaningful impact. About you You thrive in collaborative settings and are committed to fostering an inclusive and equitable learning and research environment