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how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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manufacturers and the ability to meet milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly. Sponsorship / work rights
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) in FPGA design, machine learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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. This project will advance our understanding of the conditions that led to reef growth, stress, collapse, and recovery during periods of rapid climate and environmental change, spanning multiple spatial and
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the highly interconnected nature of the three aims, with the PDRA contributing across all themes. This project will advance our understanding of the conditions that led to reef growth, stress, collapse, and