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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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benchmark sparse training methods to scale up deep learning. Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine
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. Publish and present research findings in top-tier conferences (e.g., Machine Learning, JMLR) and journals (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD). Collaborate with a international team of
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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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professionals in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods
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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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for explainability, regulatory compliance, model abstractions, and human judgment. We will also examine technological challenges like digital twin environments, machine learning pipelines, and digital finance
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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