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10 Mar 2025 Job Information Organisation/Company Aston University Department Aston Institute of Photonic Technologies (AIPT) Research Field Computer science » Computer architecture Engineering
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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, titled “Novel Brain-Targeted Nanocarriers for the Treatment of Alzheimer’s Disease.” This exciting role offers the opportunity to contribute to a cutting-edge, translational research programme that brings
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-funding from partners including Science Card and Bruntwood SciTech. The funding has been made through the Research Ventures Catalyst (RVC) programme, which was set up to provide funding to take truly novel
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fellowships are funded by the British Council under the UK’s International Science Partnerships scheme. The fellowships programme aims to provide the selected early career researchers with a strong foundation
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a MEng/MSc in Electronics, Computer Science, Mechatronics, or a relevant discipline. You will have demonstrated track record of proficiency in C#/Python as well as experience with Unity, embedded
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grades in engineering or physics and/or computer science and/or signal processing, with the strong and proven knowledge of machine learning and/or some expertise in the areas related to optics / photonics
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We are looking for a skilled Research Assistant/Associate to work on an innovative international research project that has been funded through EPSRC with UK and French partners. This project looks to substantially increase the capacity of optical transceivers well into the Terabit regime using...
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opportunity to contribute to ground breaking research aimed at uncovering novel therapeutic targets for Alzheimer’s disease, working at the intersection of experimental biology and computational modelling. What