11 experiment-"https:"-"https:"-"https:"-"https:" Fellowship positions at CRANFIELD UNIVERSITY
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should have strong experience in optimisation, computational modelling, operational research or quantitative decision analysis, together with the ability to formulate complex real-world engineering or
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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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into many novel aspects of developing offshore digital twins, such as sensing, data handling, physics and AI modelling, software development, as well as experiments at the Cranfield Ocean Systems
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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL
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-on experience in developing and testing automated driving functions for our existing automated driving platform, CONRRAD , developed as part of the previous UKRI project Driven by Sound . You will be responsible
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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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involve significant periods based at Diamond Light Source, where you will design and deliver experiments using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure
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running experiments, coordinating field and laboratory activities in the UK and internationally, analysing and interpreting complex datasets, and publishing high-quality scientific outputs. Working closely
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annum Apply by: 11/08/2026 Role Description We welcome applications from a Research Fellow with a strong passion for, and experience in, biosensing, microfluidics and microbiology. The successful