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Project Overview This PhD project focuses on the development of robust, low-cost, and compact laser delivery systems tailored for next-generation quantum sensors. These systems are essential
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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: 5+ years of research experience is required 3+ years of experience is required with a Master's degree No prior experience required with a PHD Strong knowledge and experience in understanding and
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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well as detailed case studies. Finally the development of the new metrics will be tested and refined within two living labs (Toggenburg and Geneva). This 4 year project is embedded within a wider National Research
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. Accordingly, the position at ETH Zürich is embedded within the Centre for Digital Health Interventions and is co-supervised by Prof. Elgar Fleisch (ETH Zürich) and Prof. Felix Wortmann (University of St
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and