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Materials (IFM), Deakin University. This project will develop solid electrolytes using combined machine learning (ML), molecular modelling, and experimental characterisation methods. We are looking
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of optimization solvers and Proficiency in machine learning algorithms and their practical implementation in Python would enhance the qualifications. Stipend: The scholarship will be for 3.5 years and has a stipend
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). It’s a chance for you to get help with enrolment, learning skills, language expectations and our technology and teaching systems. You will receive program information to your student email. Introductory
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Department of Mechanical Engineering. The successful candidate will have strong interest in computer vision, AI and/or robotics techniques. A programming skill (e.g., Python) would also be essential. They will
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considered, but it will further be required that they also have a strong interest in operations and supply chain management background. Knowledge of optimization solvers and Proficiency in machine learning
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three main projects. (1) The recruited PhD student will perform natural language processing and machine learning research into AI-augmented coaching to provide a pre-coaching session AI-based question and
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to the camera about your views on the same topic. Get ready to bring your ideas to life! Consider these pointers for your essay and video: Dive into how AI, machine learning, and automation jazz up moving
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Proficiency in machine learning algorithms and their practical implementation in Python would enhance the qualifications. Stipend: The scholarship will be for 3.5 years and has a stipend of $34,210 (2024 rate
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that relate to this PhD project: Computer Vision / Augmented Computer Vision Machine Learning Electronics mini/micro portable devices design UAV navigation and automation There are many fields that relate
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intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods