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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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enable seamless human–machine interaction by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. The successful candidate will work on the design and
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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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, and system-level integration within a high-impact European research collaboration. Responsibilities Your overall focus will be to design, implement, and experimentally validate robotic manipulation and
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level
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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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Job Description The Micro medical devices and hardware hacking-based technology (MIDAS) group at DTU Health Tech is seeking a talented and highly motivated postdoctoral researcher to join our
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of infection biology research. Key Responsibilities: Design, fabricate, and operate organ-on-a-chip models for intestinal and hepatic tissues. Implement hyperpolarized NMR spectroscopy protocols to monitor
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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