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computational methods for integrating multi-omics data to infer causal mechanisms of disease. We are a new group comprised of a molecular epidemiologist (group leader) and applied bioinformaticians, and are
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to your expertise. Your competencies We expect you to have: A relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical engineering, control engineering, or a
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
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, and governmental partners Your profile We expect the following competences Completed MSc degree in human physiology, mechanical, environmental, biomedical engineering or similar discipline Experience in
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through the Victorian Medical Research Acceleration Fund, the project brings together the Department of Mechanical and Aerospace Engineering at Monash University and Monash Health. The successful candidate
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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Mechanical engineering, Chemical engineering, Applied physics, or related field is required. Knowledge and proven experience with performing measurements and engineering reactor modeling and/or CFD. A critical
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instability remains poorly understood. This project will use advanced human cell models, molecular and imaging approaches to investigate how extracellular vesicles and other signalling mechanisms drive