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Field
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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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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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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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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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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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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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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
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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
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applicants embarking on a brand-new LSBU research programme—current PhD students and LSBU staff members are not eligible for this award. Why choose LSBU for your doctoral journey? LSBU is a dynamic, applied
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Description Languages & Verifications (45AH) Optoelectronic Devices & Circuits/Electronic Circuits (45AH) Current topics in IC design/Computer Architecture (45AH) The named courses are subject to change upon