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Job Description Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges? Responsibilities and
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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. The object of our studies is to gain a fundamental understanding of this incredible family of glycans, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new
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development (using both traditional signal processing and machine learning), antenna design, and system hardware development. We collaborate closely with clinical experts to develop innovative technologies
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research spectrum covers a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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You will lead the qualitative work to understand how individuals experienced the intervention and app how it worked. This will directly impact the design and refinement of the intervention, and so
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, highlighting the need for standardized practices in this field. If robust and reproduceable, DIC would transform the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student