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pipelines for large-scale biological datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply
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work streams, or leading large complex projects and ability to work according to strict deadlines and manage various demands ability to understand often complex information and distil into lay terms
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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-structure noise and rapid regime shifts. Integrate real-time data streams. You will experiment with heterogeneous inputs like tick-level prices, news sentiment, order-book depth, macro indicators and
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28 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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supporting the success of Faculty Services and the University. You will provide high-quality administrative support, manage information with accuracy, and ensure effective communication across the Division
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of data and artefacts. About you experience leading multiple large or complex projects / initiatives with the ability to work to deadlines and manage competing demands experience coordinating or managing a
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near-completion) in computer science, engineering, or a related discipline, with demonstrated research strength in data systems, AI for databases, or large-scale data infrastructure. Expertise in core
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market intelligence. Inspiring a large team, the appointee will foster an integrated, future-focused approach supporting the University's sustainability and competitiveness and ensure a cohesive
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experience working in large teams. highly organized with strong attention to detail. Desirable scientific diving qualification (AS2815.6 – Restricted Occupational Scuba Diving) experience with data collection