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. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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systems from QC attacks, and accelerate the adoption of quantum-enhanced cybersecurity, AI, optimisation and simulation algorithms across Australian industries – aligning with the Digital Economy 2030
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action observation Johnathan Wong Doctor of Philosophy in Bioinformatics (PhD) Efficient Algorithms in Genomics Reid Mitchell Doctor of Philosophy in Rehabilitation Sciences (PhD) Respiratory and exercise
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, SDEs) - Number theory and cryptography including cryptographic standards, implementation and migration - Logistics and supply chain network theory - Simulation design and algorithms - Dynamical systems
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive