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an opportunity to delve into the area of geometric deep learning within the broader landscape of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and
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research in 3D scene analysis and generative diffusion models. Project description This PhD position offers an opportunity to delve into the area of geometric deep learning within the broader landscape
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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them, and conduct experiments with modern machine learning techniques (e.g., deep neural networks, graph neural networks, or active learning) with the goal of predicting the performance impact of code
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provides the opportunity to deep-dive into research at the crossroad of the vibrant fields of transition studies, industrial dynamics, climate change, sustainable development and physics. The position will
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. The applicant should have strong background in mathematical foundations of computer science and experience in Python programming. Previous experience in deep learning, reinforcement learning, or explainable AI is