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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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and data analysis. Excellent interpersonal and communication skills. Task-related Competencies Design and prepare research materials and conduct analyses of the research findings. Work collaboratively
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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the economic impacts of offshore wind farms on commercial fisheries in the Dutch North Sea. Your work will identify who wins and who loses in this energy transition and investigate how fishers can adapt to
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neuromuscular imbalances and joint mechanics. Apos has extensive research demonstrating the device's biomechanical features and functionalities, safety, clinical effectiveness and economic analysis to suggest
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of optically functional fibers and fabrics (OFFs) in an effort to make the world better off. Department of Human Centered Design The Department of Human Centered Design (HCD https://www.human.cornell.edu/hcd
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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obtained). Have a background in one or more of the following areas: Dance Choreographic Practice Improvisation Performance and Technology Motion Capture Movement Analysis Systems How to apply Apply
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have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field. Eligibility You need to meet the entry requirements for QUT's Doctor