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foundation models, deep machine learning and computer vision. Topics of interest are test-time generalization, embodied grounding, data scarcity and uncertainly modeling. The research is embedded in the VIS
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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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, 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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. 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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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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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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. What do you have to offer? You have strong analytical and critical thinking abilities, you are enthusiastic and self-motivated when it comes to learning new skills or exploring new topics, and you have
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electronic experiments at cryogenic temperatures; Develop theory and computer simulations to support the experiments; · present your results in international workshops and conferences; Collaborate with other
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Do you enjoy using computational approaches to study biological problems? Are you interested in using a combination of machine learning and mechanistic modelling? We invite enthusiastic and