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and infectious disease models, with a focus on tuberculosis. demonstrated understanding of the subject-matter within the discipline experience conducting original research and/or engaging in scholarly
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cancer therapies, including gene- and cell-based immunotherapies. You will work with state-of-the-art technologies such as single-cell multiomics, stem cell models, and nanotechnology, within a
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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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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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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 of FPGA-based accelerators, high-level
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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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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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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 intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago. The successful candidate will be a sedimentary