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to announce a joint open PhD position in Improving Machine Learning Methods for Contingent Claim Pricing and Hedging. The project will focus on, but will not necessarily be limited to, a promising relatively
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The project you will work on lies on the boundary between AI and theoretical physics. Physics has been a source of inspiration for innovation since the early days of machine learning. In particular
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Analytics Section at the Amsterdam Business School (University of Amsterdam ) invites applications for a PhD position in Statistics and Machine Learning. We are looking for highly motivated PhD
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Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field; a thorough understanding of both information retrieval and deep learning; solid programming skills
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However
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, context-aware pervasive computing, machine learning and data analysis, software engineering; good programming skills; high motivation in pursuing academic research; fluency in English, both written and
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towards improving plant yield under suboptimal conditions. As part of the larger CropXR consortium, you will also collaborate with additional PhD students working on machine learning and mechanistic
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systems with a specific focus on AI and machine learning-based approaches, research, develop, and validate scheduling, optimization, and adaptation algorithms for distributed data-centric computing systems
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into everyday gadgets like smartphones and IoT devices? This PhD position offers the chance to not only push technological boundaries but also to be part of pioneering research that integrates deep learning