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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
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PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left
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, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully
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preserving signals at test time. This project investigates this type of learning setting in crowded mingling events where access to high fidelity data may normally be considered too privacy invasive. It will
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro Kgs. Lyngby, Denmark Be the First to Apply Job Description We invite
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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on a PhD position focusing on learning analytics-based dashboards at the Human-Technology Interaction Group (HTI) within the School of Innovation Sciences. The project Blended learning has become a
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PhD Learning Analytics-based dashboards for supporting students blended learning PhD Learning Analytics-based dashboards for supporting students blended learning Published Deadline Location
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Are you curious about how people learn from each other? Do you love computational modelling? Join our interdisciplinary team in Amsterdam! We are looking for a PhD student for the project "Social
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seeks to enhance the robustness and efficiency of debiased machine learning methods. This PhD project will primarily focus on this latter component, in interaction with fellow researchers on this project