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for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based
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requirements as applicable to in situ/operando measurements, controls, data acquisition, and metadata/interface requirements, commissioning, verification, and acceptance test criteria appropriate for an MIE
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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and
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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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implementation on hybrid quantum-classical hardware, and collaboration with a multidisciplinary team of researchers in quantum computing and computational condensed matter physics. The ideal candidate will have a
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– Hardware & Electronics Qualifications: PhD in Experimental Particle Physics or related field Preferred Qualifications Physics analysis at the graduate level, prior hardware or electronics work. Cryogenic
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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM
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the last five years. Preferred Qualifications: Background in in-situ process monitoring for metal AM, particularly DED. Hands-on experience with sensor hardware and data acquisition systems. Experience with
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management skills. Strong interpersonal and mentoring skills. Advocate for safety and ethics in the workplace. Preferred: Experience with integrated CMOS circuit design, verification, and tapeout in standard