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modelling and spatial mapping approaches to join our team of academics working on decision support systems to improve schistosomiasis preparedness and control during development of water management
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to contribute to an exciting European project developing biotechnological processes that use phototrophic microorganisms to recover resources from waste. About the Role We are seeking a dedicated Research Fellow
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to contribute to an exciting European project developing hydrothermal processes for the management of solid digestate and other waste from the olive oil production process. About the Role We are seeking a
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of these components within the design cycle time frames. Within that context, the research post will further develop and apply existing methods, previously developed at Cranfield, for nacelle and exhaust system design
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. About the Role Your role will be to develop novel methodologies for qualitative and quantitative pollinator monitoring using a combination of AI and molecular methods. You will work with multiple academic
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be responsible for undertaking high quality research associated with the Cranfield University project work package in AI-Enhanced Digital Twins and High-Level Reasoner Decision Support System
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high-profile BBSRC-funded project on potato dormancy, with PepsiCo International Limited and Solynta UK as industrial partners. You will be: Developing a non-destructive rapid AI-based imaging system
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a funded international project that will deliver major impact through development of novel design methods/ tools and experimental rigs. The research is aimed at developing future ultra-low emission
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experience in the design, development, and characterization of innovative materials, particularly those derived from biological or renewable sources, and wanting to make a difference and keen to be part of a