16 parallel-programming-"Intelligent-Systems-Group" Fellowship positions at Cranfield University
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towards lower-carbon, more efficient and resilient transport systems and AI enabled circular manufacturing supply chains. Working with researchers, industry partners, and stakeholders, you will develop
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moisture reduces plant-availability of P. In natural systems, most plants rely on root symbioses with mutualistic mycorrhizal fungi for efficient P uptake. These interactions remain active in major crop
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discipline. You will have experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and
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Cranfield Ocean Systems Laboratory. You will also be involved in assessing the techno-economic performance and life-cycle sustainability of the newly developed technologies. You will assist the coordinator
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management globally. Learn more about Cranfield and our unique impact here . The group has received national and international acclaim, including coverage in Science , BBC News and The Washington Post
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current research strengths and specialisms are arranged in research groups: Decision Science Ecology Air Quality and Greenhouse Gas Assessment Applied Remote Sensing Soil Informatics Soil Systems Crop
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funded by Innovate UKI. The overall project addresses a critical challenge in the UK’s Connected and Automated Mobility (CAM) sector: delivering robust, cost-effective perception systems capable of safe
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candidate for this position will investigate advanced and innovative treatment options for low energy ozonation and advanced oxidation systems in drinking water. This research will look at low energy
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of complex environmental systems. About the Role This is a Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron
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innovative technologies for coagulant recovery such as membrane systems or electrodialysis. The ideal candidate will have expertise in: Experimental research related to water treatment processes