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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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for research leadership. Strong experience in at least two of the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks
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Child Health at UNSW UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health
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. Details of the role This Data Scientist role offers a unique opportunity to work at the intersection of artificial intelligence, machine learning, and healthcare. The role will contribute to designing and
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, advanced soil analysis, and modelling. The research involves field work in Western Australia’s unique ecosystems, applying cutting-edge imaging, spectroscopy and molecular techniques, and leveraging machine
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research in areas such as machine learning, clinical decision-support, medical imaging, and data-driven health services innovation. The position is expected to develop an independent research profile
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Innovations Group seeks a forward‑thinking expert in statistical machine learning to translate complex biological datasets into actionable AI‑driven insights. You will enhance genomic selection and breeding
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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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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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or