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Engineering or a related field. A strong track record of publications in software-hardware co-design (e.g., Neural Architecture Search) or computer architecture (e.g., hardware simulator design) Experience in
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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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will employ interdisciplinary methods to explore and refine biofabrication processes, working alongside experts in electrical, chemical, and biomedical engineering, as well as chemistry and materials
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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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of nutrients and macromolecules To automate the process of complex fabrication of foods To develop printing instruments intended for use in specific scenarios The researcher will work in an interdisciplinary
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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