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for the rail industry. As Senior Engineer – Embedded Sensor Edge Computing, you’ll work on cutting-edge projects involving sensor technologies such as accelerometers, acoustic sensors, and imaging systems
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welcome applicants with a background in health science (including medicine), biomedical imaging, biomedical engineering, radiation sciences, AI, or big data, who can bring fresh perspectives and drive
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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, support emerging researchers, and help shape the curriculum that prepares our students to become global leaders in technology. You’ll also have the opportunity to pursue your own research interests
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, support emerging researchers, and help shape the curriculum that prepares our students to become global leaders in technology. You’ll also have the opportunity to pursue your own research interests
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will