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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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experimental feedback to iterate designs. Activity & structure. Develop robust assays, quantify kinetics/selectivity, and determine structures to resolve active-site architecture. Spectroscopy & intermediates
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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The UCAM-SENS unit is seeking a highly motivated PhD student to join its cutting-edge research in Bioelectroanalysis. This position focuses on the development of advanced electrochemical sensing
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The UCAM-SENS unit is seeking a highly motivated PhD student to join its cutting-edge research in electrochemical devices. This position focuses on the development of next-generation electrochemical
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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Connect project, which is funded by the Endangered Landscapes and Seascapes Programme. Cumbria Connect aims to restore 33,000 ha of the English upland landscape through a partnership with multiple