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to extend. Your key responsibilities will be to: undertake original research (either independently or as part of a team) within discipline or area of expertise maintain a research profile, including
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biological problems; and establish a world-leading research and biotechnology translation environment. The QUT node is headed by Professor Matthew Simpson, Deputy Director MACSYS with QUT Chief Investigators
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to automated systems. Qualifications: Bachelor/Master/PhD Degree(s) in Mechatronics, Mechanical, Electrical/Electronic, Manufacturing, or equivalent Engineering disciplines. Please Note: Appointment to
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understanding of the key strategic issues in the higher education sector demonstrated understanding of the subject-matter within the discipline experience in conducting original research and/or engaging in
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the Line Manager and relevant stakeholders Prepare reports related to research activity outcomes Key Selection Criteria University graduate degree (Masters or doctorate) in Arts, Science, Social Science or
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data outputs. We are looking for candidates with a doctoral qualification in biostatistics, statistics, or a closely related discipline, or a Master's qualification with demonstrated research experience
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PRIMARY DETAIL We are seeking an exceptional Researcher, with a strong and growing track record in analytics of time-series data, to support an exciting new research project that aims to understand
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PRIMARY DETAIL We are seeking an exceptional Researcher, with a strong and growing track record in neuroscience and brain-imaging, to support an exciting new research project that aims to understand
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PRIMARY DETAIL We are seeking an exceptional Researcher, with a strong and growing track record in human neuroscience and neuropsychology, to support an exciting new research project that aims
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vocalisations in previously collected sound files. The position will operate as part of a wider team working on collecting, annotating, and developing recogniser data, but will have primary responsibility