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to develop efficiently, this requires competencies in optical and quantum physics, experience in development of experimental control hardware, and perseverance and ingenuity. The positions are part of
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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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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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experience in programming and deploying robotic systems, including real hardware Strong background in robotic manipulation and/or mobile manipulation Proven experience with physical interaction, contact
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validation of energy system solutions will be an advantage. Strong programming skills in Python, MATLAB or similar environments are required, and it will be advantage if you have worked with hardware-in
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if you have worked with hardware-in-the-loop testing, co-simulation frameworks or real-time validation environments. Knowledge of energy market mechanisms and innovative business models for flexible energy
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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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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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expected to include hardware which responds to our own proprietary software. There will also be some logistics which need to be handled and therefore the postdoc is expected to be mobile to some degree. Your