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About the role The Department of Mathematics at the University of Sussex is inviting applications for a fixed term early career research position centred on advancing ecological modelling of soil
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modeling) Molecular ecology and genetic analysis Ecosystem forecasting Salmon life history Climate and ecosystems CoastWatch /PolarWatch Fisheries resources (including advanced survey technologies
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of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
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of the immune system in retinal degenerative disease. We utilize induced pluripotent stem cells, human donor tissue and mouse models of retinal degeneration to study the role of monocyte derived macrophages in
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to deliver stepped care models. Supervise training in evidence-based therapies utilized within the initiatives. Establish and lead a measurement-based care approach across all participating sites. Coordinate
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an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment Knowledge, Skills and Experience Experience of working
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
detailed parameterised geometric models and running simulations for various operational scenarios, but also applying the simulation results to the design and verification of biological shielding components
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STEER (Science & Technology Entrepreneurship Education & Research) Advancing Science and Technology Entrepreneurship Education and Research through the Development of Pedagogies and Student
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading