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Vacancies PhD Position in Machine Learning for Digital Fincance Key takeaways You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training
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Vacancies PhD position on analysis of geometric machine learning methods Key takeaways We are looking for a motivated, theory-oriented PhD candidate to work on the project "A continuum view on
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Vacancies PhD Position in Machine Learning for Green Credit Scores Key takeaways The goal is to resolve how financial settings can adapt practices or propose solutions for designing green credit
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Vacancies PhD position on Sparse Training for Energy-Efficient Deep Learning Key takeaways The main goals of this PhD project are: Develop novel sparse training algorithms that improve
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Vacancies PhD position on Sparse Training for Deep Reinforcement Learning Key takeaways This doctoral research will be at the intersection of sparsity and artificial intelligence. The research will
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in practice-led research to benefit the teaching and learning of mathematics. FERMAT has made streamlining assessment one of its core interests. We seek a PhD candidate who is passionate about
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Vacancies PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Key takeaways The vacancy is focused on calibration in deep learning . Deep Neural Networks (DNNs
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Vacancies PhD position on Robust, Generalizable AI for Medical Imaging Key takeaways Artificial intelligence is increasingly being used in medical applications, supporting doctors and other medical
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business models, the significance of AI in shaping decision-making cannot be overstated. Using the power of Machine Learning (ML) models, our project will examine financial investments and credit risk
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granular physics, computer modelling and Machine Learning techniques to join University of Twente (Netherlands), and work on a novel high-performance multi-phase material point method for modelling submarine