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Field
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When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives
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engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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that allow historical performance phenomena and training practices to be re-animated in the present moment in the form of a ‘live archive’. Project aims and objectives Using Reckless Sleepers’ extensive body
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healing, haemostasis promotion and water treatments). The objectives of this project focus on evaluating the antibiofilm efficiencies of different Chitosan derivatives with various polymer sizes and to
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interview system for university admissions. This project aims to improve the fairness, efficiency, and objectivity of student selection by reducing bias and subjectivity inherent in traditional interviews
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researchers at the CCGE, Oregon Health & Science University (OHSU), and the German Cancer Research Centre (DKFZ). This research is part of a Cancer Research UK International Alliance for Cancer Early Detection
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer