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PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Published Deadline
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to undertake this pilot project. The project lies at the interface of electromagnetic modelling and theory and deep learning methods. You will develop methods and test them towards the inverse design of state
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of new deep learning and robot learning methodologies which can be applied across a variety of robotic platforms. With this you will work at the research frontier by investigating how we can optimize
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, tables, and other markers). In order to exploit deep learning in these areas, it is necessary to have ‘humans in the loop’, who not only label characters and words and transcribe lines of text but also
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Group). In your PhD project you will consider the development of new deep learning and robot learning methodologies which can be applied across a variety of robotic platforms. With this you will work
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, illuminated capitals, repetitive administrative forms, tables, and other markers). In order to exploit deep learning in these areas, it is necessary to have ‘humans in the loop’, who not only label characters
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of textual and graphic patterns with a special meaning (headings, illuminated capitals, repetitive administrative forms, tables, and other markers). In order to exploit deep learning in these areas, it is
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main responsibility will be to work on research projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses
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, Bayesian modelling, machine learning, and deep learning. Research seminars. We organize weekly BIM research seminars (www.erim.eur.nl/research/events/research-seminars ) that bring leading scholars to share
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projects in generative machine learning. These projects require both training of deep neural networks on large datasets and performing theoretical analyses and calculations to elucidate their properties. In