11 decision-making-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at CRANFIELD UNIVERSITY
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approaches that support evidence-based decision-making. This may include optimising transport/manufacturing operations, alternative fuel/ technology pathways, infrastructure capacity, fleet/machine composition
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that support environmental monitoring and decision-making at scale. Further information is available at: Cranfield Environment Centre. Our Values and Commitments Our shared, stated values help to define who we
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industry and other stakeholders on cutting-edge applied research. About You You will be educated to doctoral level in a relevant subject, and you will have experience of management research and publishing
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navigation and perception systems. As a key aspect of this role, you will have the unique opportunity to gain hands-on experience in developing and maintaining software solutions for our existing automated
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will contribute to the delivery of high-quality research in automated vehicle modelling and control systems. As a key aspect of this role, they will have the unique opportunity to gain hands
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. You will have the opportunity to travel extensively to work with partners and attend international events. We believe this is a precious opportunity for a postdoctoral researcher to build up
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. About You You will be educated to doctoral level in a relevant subject and have experience of research in plant and soil science using both qualitative and quantitative methods. You will have some
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science. You will lead the delivery of a substantial component of a UKRI Future Leaders Fellowship, delivering advanced biogeochemical research to determine the origin, age and stability of organic carbon
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and field settings. You will have expertise in microbiological or molecular approaches relevant to environmental samples, and be confident designing and delivering experiments, interpreting data and
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discipline, with a strong focus on lab-based or synchrotron CT imaging. You will have experience in designing and delivering imaging experiments, working with complex datasets, and interpreting imaging outputs