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Field
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including in-memory computing, neuromorphic computing, and hardware acceleration for AI workloads. As a Postdoctoral Researcher in CMOS Design, you will play a central role in the design, simulation, and
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: Experience with ecological datasets or biodiversity applications Experience with hardware integration, embedded systems, or edge computing (not required but beneficial) A track record of publishing technical
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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or Aerospace Engineering. First-author peer-reviewed published papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze
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demonstrate: Experience with optical spectroscopy, and ideally with terahertz technology. Experience with hardware control using Matlab, Python, or similar tools. Experience with machine learning algorithms and
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into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world demonstrations. • Contribute technical evidence for
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and maintenance prediction and integrate analytics into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world
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deep-tissue activation with minimal invasiveness. You will collaborate closely with partners at Glasgow and IIT to integrate Exeter’s wireless technologies with neurobot hardware, contributing