571 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Sheffield
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use small security devices—such as bank authentication tokens, car key fobs, or hardware keys like YubiKeys—to prove who they are and keep their data safe. These devices, called hardware tokens, store
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corrected. The research will be comprises of running slot-die coating equipment, computer coding, image analysis, development of imaging and illumination set-up, deployment of high-voltage high voltage
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/or University policy are reported, challenged and resolved. Your actions will contribute to a positive safety culture, in which incidents are reported openly and used as learning opportunities
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are pioneering a novel approach to blood pressure estimation by leveraging advanced artificial intelligence, specifically deep learning, to directly analyse photoplethysmography (PPG) signals. Our objective is to
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attention to detail necessary for managing large datasets, intellectual curiosity about stromal biology and tumour microenvironment, willingness to learn digital pathology, quantitative analysis, and staining
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to acquire new skills and knowledge where necessary to facilitate the success of the current study and the development of CTRU generally. (Application/Interview) Ability to handle confidential information
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commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework. A range of generous family-friendly policies paid time off
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your development access to learning and mentoring schemes; Professional Services Shared Skills Framework We are a Disability Confident Employer. If you have a disability and meet the essential criteria
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
guidance algorithms [1] for the hopper. These algorithms will run in real-time on a high-performance, secondary flight computer. One of the project’s novel contributions lies in the creation of a fully
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, they can quickly become dangerous. Furthermore, as these machines become more autonomous, using more complex controllers and AI, they also become less predictable - just like people. Traditional approaches