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Field
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently
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related to the use of Unmanned Aerial Vehicle (commonly known as drone) technology and developing autonomy solutions for automating bridge inspection and semiconductor manufacturing through Human-Robot
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counts world-leading companies in growing fields such as e-mobility, automation, climate solutions, and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the center
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at the campus including Centre for Industrial Electronics and Centre for Industrial Mechanics as well as with the industry, which counts world leading companies in growing fields such as e-mobility, automation
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automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed any of our updates. What to Submit All applicants are asked to submit: a CV and
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opportunities for knowledge exchange in advanced VLSI systems. By developing tailored training programs and focusing on Electronic Design Automation (EDA) tools for reliability assessments, COIN-3D aims to push
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed any of our updates. What to Submit All