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Field
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implications for health risk assessment and monitoring.• Task 6.4: Model to infer pathogen risk based in their circulation in wastewaterTimeline: Months 20–34Output: Draft chapters on results & discussion
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generating the basic understanding of how they shape deep marine environments. Real world monitoring of turbidity currents is challenging and risky due to the difficulty of reaching submarine canyons and the
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increase and ensure drug safety. This is achieved by joining the disciplines of pharmacy and medicine as well as cooperating with specialists within epidemiology, public health, and healthcare research
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microbiome-based prevention strategies supported by precision monitoring and early illness detection tools. PhD supervisors: Toni Velarde and Núria Mach (INRAE) 6. Animal health and Animal breeding and
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machine interpretability in complex diagnostic environments. PhD 6: Automating health monitoring in semicon equipment (supervision by: Nathan van de Wouw, Tom Oomen, Michelle Chong) [Department
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scientists and development economists. Our main research aims are to design and evaluate strategies to improve the quality and use of preventive health care services in low- and middle-income countries. We
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of soil degradation on soil-to-crop dynamics and subsequent impact on lake ecosystem/human health via the food chain. This is particularly pertinent given the growing importance of aquaculture
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pollinator monitoring, our platform has the potential to transform how we assess pollinator health, evaluate the impacts of environmental change and design effective conservation interventions. Methodology
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collaboration with a doctoral candidate in Food Anthropology supervised by Dr. Anne Dupuy and Dr. Jean-Pierre Poulain of CERTOP (UMR5044), University of Toulouse Jean Jaurès. Research progress will be monitored
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-driven modelling and numerical mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing