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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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given - Perform microscopy and nanodevice analysis Program and design PLC systems Apply Computer Vision for machine hardware feedback and control Generate technical reports, white papers, and
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experiences in healthcare wearables signal, data processing are preferred. Interdisciplinary Collaboration: Engage with researchers in biomechanics, engineering, and healthcare to translate research
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, data acquisition, and system integration ⚙️ What You Bring Proven experience in quantum or semiconductor device testing Strong background in automating precision instrumentation setups Familiarity with
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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Collect data Documentations (reports, potentially conference papers and journal papers) Your profile We are looking for a researcher with the following expertise and skills, Knowledge on microwave
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wearable devices using digital knitting and advanced fabrication techniques. Motion Sensing & Data Processing: Implement and optimize algorithms for joint motion tracking, integrating signal processing and
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming
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programming. Working knowledge of computer networks. Working knowledge of applied cryptography and/or applied machine learning is advantageous. Working knowledge in software testing is advantageous. Familiarity