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-of-the-art facilities and deep expertise. Our infrastructure spans the full spectrum from fundamental electrochemical studies to the fabrication of lab-scale components and devices. Responsibilities and
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have: Experience in Python Experience with deep learning frameworks Interest in design and user test of explainable AI systems Interest in EEG High level of motivation and innovation Excellent
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, Organisation and Governance Research Cluster. The position includes Planning and conducting teaching on innovation management Online teaching—blended learning Student supervision Preparing teaching materials and
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to support and motivate teams to embark on their own startup journeys based on groundbreaking ideas from their research. We do this through deep engagement, coaching, workshops, funding and mentor programmes
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specialized areas: Machine Learning / Deep Learning Uncertainty Quantification Wind Farm Flow Modelling Wind Farm Control Wind Farm Design Wind Farm Control Co-design Hybrid Power Plant Design & Control Co
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qualifications for the purpose of evaluating whether the teaching assistant professor has acquired the qualifications necessary to teach at the level of teaching associate professor. This evaluation includes
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knowledge about recent neural network architectures for machine learning (e.g., CNNs, RNNs, GANs) have considerable experience with a deep learning framework are curious about the cross-field between signal
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at an international level developing deep learning, vision transformers, graph neural networks, foundation models, or related methodologies for integrating diverse imaging data with clinical, laboratory, and genomic
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properties of food, particularly ultra-processed foods. Experience with machine learning (e.g. deep learning), and computational modelling applied to food science and nutrition. A demonstrated ability to
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the theoretical foundations of quantum engineering. Given that current development of mathematical foundations of quantum theory draws from and needs a diverse deep understanding of all branches of pure mathematics