7 parallel-computing-numerical-methods-"Fields-Institute" Fellowship positions at Cranfield University
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environmental monitoring. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an
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Date 14/08/2026 Apply by 13/09/2026 Documents 5377 JD & Person Spec.pdf (PDF , 90.05kb) Role Description The Cranfield Water Science Institute welcomes applications from passionate, skilled and
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14/08/2026 Apply by 13/09/2026 Documents 5376 JD & Person Spec.pdf (PDF , 90.21kb) Role Description The Cranfield Water Science Institute welcomes applications from passionate, skilled and motivated
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/2026 Documents 5375JD~1.PDF (PDF , 90.15kb) Role Description The Cranfield Water Science Institute welcomes applications from passionate, skilled and motivated engineering, chemistry or environmental
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and stability of organic carbon within soil parent materials. The role will involve applying and interpreting analytical and isotopic approaches, including radiocarbon methods, to distinguish petrogenic
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research in plant and soil science using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming. But our main requirement is
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- JD & Person Spec.pdf (PDF , 106.15kb) Role Description About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition