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Systems (Mixed-Signal IC Design) Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in designing and testing Mixed Mode IC systems, working with and/or developing
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Design). Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in Designing and Building and Implementing FPGA systems, working with and/or developing neuromorphic
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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review relevant academic and policy literature; sourcing and collating data; designing, undertaking and completing econometric analyses to produce evidence to help decision-makers spend money
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plan to achieve during the CRE fellowship. Further particulars are available at < Salary will be commensurate with your experience, on the Clinical or Non-Clinical scales as appropriate. What you will
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The University of Manchester has been celebrating 200 years of achievement in research-driven learning, development and innovation: this has included investing in our prestigious Bicentenary PhD
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on projects designed to achieve high quality engaged and impactful research. Ideally proposals will identify and outline a route to relationship development with partners that could lead to future research
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on projects designed to achieve high quality engaged and impactful research. Ideally proposals will identify and outline a route to relationship development with partners that could lead to future research