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Field
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models
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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
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8 Oct 2025 Job Information Organisation/Company MUNSTER TECHNOLOGICAL UNIVERSITY Department Human Resources Research Field All Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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: Essential: PhD in Education, Learning Design, Higher Education Policy, Business & Innovation, or a related field. Relevant research experience. Self-starter who is comfortable with working independently
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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researchers, policymakers, NGOs, companies, international organizations, and foundations committed to sustainable nitrogen management. We welcome applications from candidates with PhDs in environmental studies