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for predicting the joint probabilities of extreme events related to coastal processes such as waves, tides, storm surge, etc. The candidate should have strong expertise in statistical modelling as
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normally in the range of £38,655 per annum Apply by: 06/09/2026 Role Description We welcome applications from passionate, skilled, committed, prospective plant and soil modellers to contribute to a multi
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biological recognition molecules, and evaluating optical and spin properties and performance in model assays. There will be scope to propose and pursue new materials, chemistries and biomedical applications
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analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals
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This position focuses on physics-based modelling of hydrodynamics, turbulent mixing, and nutrient transport in fish farms. The research forms part of an interdisciplinary programme integrating
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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About the Role The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health invites applications for a Research Fellow to drive AI-centred research within a
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transformation. Area of Research Digital health maturity in primary care; development and validation of digital health maturity models and assessment tools; Delphi methodology; health services research; primary