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and electronics engineering, or computer science. • Have experience in programming languages (e.g. Python) and machine vision and signal processing algorithms. • Practical experience in electronic
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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PhD Scholarships in CSIRO Next Generation Graduate Program: Quantum Information Technology: Industry Readiness and Applications Job No.: 677344 Location: Clayton campus Employment Type: Full-time
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year
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computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
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Equity with the Tracking CubeFull-timeDVC ResearchSouthport, QLD Head of H&S Systems, Wellbeing and AssuranceFull-timeHealth Safety and WellbeingNathan, Queensland Research Fellow in AI and Computational
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, you will contribute cutting-edge R&D including algorithm design and sensor fusion system designs, while using technologies such as computer vision, lidar, time-of-flight, radar, accelerometers, and
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group of experts to predict (probabilistically) whether these occupations will be automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained