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-aware AI Interfaces such as SPI, I2C, UART, CAN, USB, Ethernet, MIPI, or similar Use of oscilloscopes, logic analyzers, power analyzers, and hardware debugging tools Deployment and optimization of machine
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. As part of a multidisciplinary team of academic and industrial researchers, you will contribute to the development and optimization of next-generation fabrication technologies with direct relevance
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modeling skills: optimization, mechanism design, etc Have excellent verbal and written communication skills Have industrial experience in AI deployment is a plus Workplace Workplace We offer The starting
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infrastructure to support you in optimizing your schedule to accommodate your personal interests and family commitments. chevron_right Working, teaching and research at ETH Zurich We value diversity and
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may include AI/ML (incl. LLMs), XR, robotics, simulation, optimization, or others that fit your research question. We welcome foundational AI and XR proposals (e.g., representations, verification
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Boundaries. However, the current process design paradigm is too slow, labor-intensive, and fragmented between disciplines. This project will investigate optimal pathways for creating a circular industry that
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, policy-relevant research Have excellent quantitative skills: statistics, optimization, stochastic modeling, etc Have excellent verbal and written communication skills Have experience in working on real A/B
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sequencing Spatial transcriptomics Multi-omics strategies Optimization, validation, and documentation of methods and standard operating procedures (SOPs) Active participation in internal R&D projects
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-particle microscopy and spectroscopy will be used to uncover variations that are hidden in conventional measurements. The resulting understanding will guide the synthesis and optimization of semiconductor
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, 2025 ), and established functional volumetric bioprinting with xolography (Advanced Materials, 2026 ). Co-optimized volumetric muscle designs for large dynamic deformations are in press at Nature