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Application Deadline 1 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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register handover and streamline processes for reliable, timely insights. Administer and champion asset systems (e.g., Brightly, Archibus) configure, support users, and develop reporting/modelling
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services, alumni engagement, and advancement to further the goals of the new Student Management System Transformation (SMST) program. In this pivotal role, you will provide technical leadership across
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of Medicine and Health (FMH). Biomanufacturing has the potential to transform disease modelling, drug testing, and the study of biological processes in vitro, with the goal of fabricating functional tissues and
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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science, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied
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at $103,866 plus 17% superannuation Location: Western Australia (Hybrid working model) – applicants must be based in WA for this role. About UNSW At UNSW, we pride ourselves on being a workplace where the best
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questions; Describe how you have applied data science, statistical modelling and machine learning to complex data sets? How have you used GIS, remote sensing data or computer vision techniques to support
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of clinical care, learning and research, we are bold and ambitious in our pursuit of patient-centred excellence. Key Responsibilities Provide technical leadership and specialist data modelling and technical
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field