13 parallel-computing-numerical-methods research jobs at UNIVERSITY OF WESTERN AUSTRALIA
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Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed
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WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and agricultural
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develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference library. Equipped with state-of-the-art
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DNA (eDNA) technologies. The Centre develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and
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Australia Application Deadline 5 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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which provides rural clinical training for WA medical students from UWA, The University of Notre Dame and Curtin University. Initiated in 2002, this program has grown to encompass 15 rural sites and one
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genome sequencing of marine vertebrates. The Centre develops innovative laboratory and computational workflows for genome sequencing, assembly, data analysis, and open-access genomic resources to inform