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Doctoral Training Grant Funding Information This funding model includes a 36-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
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skills and experience: Essential criteria PhD (awarded, submitted or near completion) in artificial intelligence, machine learning, robotics, computer science, biomedical engineering or a closely related
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of assessing microstructural homogeneity, which is increasingly important for product-scale electrolytes. The PhD candidate will join a dynamic, interdisciplinary research team working at the interface
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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), the School of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within
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and devices in brain-computer interfaces: Including novel brain-computer interfaces, micro/nano electrodes, large-scale neural information recording, encoding/decoding, and brain-machine interaction
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. Please note that if you already hold a doctorate/PhD or are working towards obtaining a similar degree elsewhere, you will not be admitted to a doctoral programme at the UvA. This is what else we offer you
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://www.academictransfer.com/en/jobs/364637/phd-position-quantum-physics-ra… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364637/ Work Location(s) Number of offers
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opportunity to contribute to the EPSRC-funded Frontiers in Electromagnetic Non-Destructive Evaluation Research (FENDER) programme, which seeks to bring game-changing ideas and exploit advances in complimentary