123 parallel-programming "Intelligent Systems Group" Postdoctoral positions in Australia
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productivity, climate resilience and environmental performance of Australian cotton farming systems. The partnership brings together expertise in soil science, digital agriculture, farming-systems agronomy
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techniques for inverter-based resource dominated power systems, including mode identification, source detection, dynamic event classification, hardware-in-the-loop validation, research publication, and
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Systems Science Apply now » Date: 10 Sept 2026 Location: Canberra, ACT, AU Company: CSIRO Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area
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management systems, workflows and research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to
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supervision of Professor Ali Abbas, to advance fungal process systems engineering for plastics biodegradation and circular bioprocesses. The role combines mechanistic modelling and AI with laboratory
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systems, performance evaluation, benchmarking, computer architecture, embedded/HPC systems or a closely related area. Demonstrated experience designing controlled and repeatable experiments, including
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teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree
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human condition. About the research group The Systems Virology group is located at the Department of Translational Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various
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Resilience and Recovery (CDRR) at the Economics Discipline Group places high emphasis on research that makes a difference and is solution-led. We work closely with industry partners and the government
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pharmacogenomic and patient-derived datasets to build deployable predictive biomarker panels offers additional scope. Work that matters The Integrative Network Modelling Group within the Computational Systems