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including electrical/electronic engineering or similar. Experience in federated learning/deep reinforcement learning is preferred. At King’s, you will join a research-leading and multi-disciplinary team led
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 22 hours ago
cryptography or applied cryptography. A strong math background in related areas such as coding theory will also be considered. Capability of applying deep learning models and willingness to use them
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on lncRNA structure. These experimental constraints will then be used to guide deep learning-assisted RNA 3D structure prediction tools, in order to generate ensembles of structural models. Clustering and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
) Collaborative Context and Expertise Since 2018, EDF has been studying the construction of meta-models based on deep neural networks (i.e., deep learning). Initially, based on fluid simulations using Code_Saturne
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excellence as inextricably linked. Our faculty combine high-impact scholarship and outstanding teaching with a deep commitment to inclusive excellence and we expect successful candidates to show a record of
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research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
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education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others, and make a
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evaluation framework to monitor the effectiveness and quality of the curriculum and learning environment. · Analyze evaluation data and provide actionable recommendations for improvement to faculty
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competitions. Excellent communication skills in English; Chinese language skills are a plus Industry experience preferred Must have a research background in Artificial Intelligence, Machine Learning, or Deep
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learning y deep learning para el análisis de datos de observación de la Tierra. Application of machine learning and deep learning algorithms for Earth Observation data analysis. 5. Manejo de plataformas