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inclusive benefits to staff, including flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of
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they would design, organize, and conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and
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African and Asian contexts. We seek a candidate with expertise in managing complex fieldwork on the African and Asian continents, including survey data collection and experimental research designs
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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for studying in vitro transport across the nuclear pore complex Job description The selective control of import and export across membrane-spanning pores is vital for our cells. Typically, the specificity, speed
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, and Prof James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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infrastructures to enhance energy management, transportation networks, and urban sustainability. Key Responsibilities Design and implement digital twins to monitor and optimize urban systems, including