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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
opportunity for a Level B Research Fellow to join a world-renowned team of researchers in the field of Organisational Behaviour. Specifically, the focus will be on human-artificial intelligence (AI
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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to determine the feasibility of designing and evaluating an artificial intelligence based computerised decision tool for falls risk assessment and prevention. This will be achieved through (1) developing a
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is underpinned by two theoretical pillars: the sociology of care and the philosophy
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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at the intersection of artificial intelligence and regulatory genomics, developing and applying state-of-the-art computational methods to critical scientific challenges. The primary focus of this postdoctoral role will
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Sciences are Turing fellows. The Erlangen programme offers excellent opportunities for collaboration with a large team of scientists interested in the foundational issues of Artificial Intelligence and Deep