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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision processor hardware. This role focuses on near-sensor
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and countermeasure evaluation. You will further develop hardware attack systems designed to eavesdrop on or otherwise compromise security of existing QKD implementations. In short, this PostDoc focuses
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latency, packet loss, and other uncertainties. The central research objective is to develop a passivity-based, controller-agnostic safety layer that enables human and AI-generated control commands to be
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. Depending on the candidate's background and interests, the project may also involve acoustic hardware, numerical simulations, phantom development, and translation of the resulting methods toward biomedical
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possible. We are developing mechanical intelligence as applied to aerial robotics. The focus will be on hardware development and experimental validation up to and including flight testing. Candidates should
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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Research Infrastructure? No Offer Description Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $93,424 - $125,896 + 17% superannuation About the
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laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not
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Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $93,424 - $125,896 + 17% superannuation About the opportunity The School of Electrical and
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comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW