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Field
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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more than 150 different countries. Degree programmes are provided in Arts and Humanities, Social and Historical Sciences, Education, Architecture, Building, Environmental Design and Planning, Laws, Life
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and industrial integration. • Provide expert-level technical and research support to the Architectural Engineering Group. • Contribute to ongoing research projects, funding applications
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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lectures on the following modules: Analog Signals and Systems (45AH) Digital Signals & Systems (45AH) Machine Learning (45AH) Operating Systems/Computer Architecture (45AH) Computer Vision/Image Processing
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remote and regular on-campus working. Your skills and attributes for success: A PhD (or near completion of PhD) in Computer Science, Physics, Mathematics, Engineering, Chemistry, or other relevant subject
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Jefferis at the MRC Laboratory of Molecular Biology (LMB), within a programme on comparative neural circuits and behaviour in Drosophila. Specifically, to undertake research to investigate the circuit basis
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research