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-art digital twin platform for green energy generation. This digital twin platform will integrate machine learning models and engineering-based simulations with real-time sensor data to optimise
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades
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. Leverage library systems, data analysis tools, and scripting languages to monitor data quality, automate checks, and facilitate data remediation Explore, evaluate, and recommend AI/Machine Learning tools and
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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computer literacy across a wide range of programs and applications Enjoys learning and problem solving About us. RMIT Europe, is a creative and dynamic hub of RMIT university based in the heart of Barcelona
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technology services across teaching, learning, meeting, and event spaces. Perform standard setup, installation, maintenance, and configuration of audio-visual equipment, systems, and associated infrastructure
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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breeding optimisation. If you take pride in your interpersonal skills and your ability to apply expertise in statistical machine learning, we would love to hear from you. As the Research Scientist, you will