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, state estimation, formal methods and system verification, distributed or multi-agent systems, and data-driven analysis of dynamic systems. • Previous research or project experience in one or more of the
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support nature conservation, habitat restoration and sustainable fishing. However, fisheries‑dependent data is often unavailable and many traditional monitoring methods are too resource‑intensive or
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PhD project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible
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, Extended Kalman Filters (EKF) and Factor Graph Optimization (FGO); Testing and comparing different Simultaneous Localization and Mapping (SLAM) methods suitable for forest environments and smartphone
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Air Quality Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast
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knowledge of the techniques and treatment of data such as simple correlation methods, trend analysis, frequency distribution analysis, sampling techniques, hypothesis testing and methods of interval
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& building systems Direct and manage outside engineering firm designs and studies Perform project feasibility studies including project estimation & payback analysis Design support and technical
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development and estimation of the structural model; and writing and disseminating academic and policy outputs. The PhD dissertation will be developed within this project, with the precise set of papers
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tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and industrial
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simple correlation methods, trend analysis, frequency distribution analysis, sampling techniques, hypothesis testing and methods of interval estimation; familiarity with the principles of personnel