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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 18 days ago
or predictive modeling of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 22 days ago
requirements, we encourage you to apply. For further information about CLS and to register your application please visit: https://learning-systems.org Keywords: optimization Machine Learning Control Systems
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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high
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. Publish findings at the intersection of AI, perception, XR, and universal design. We are looking for a candidate who: has a strong background in machine learning, computational perception, XR, HCI
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Primary supervisor Adamu Muhammad Buhari Research area Machine Learning Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason
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learning, particularly with deep learning, perception models, and generative AI. • High proficiency in Python alongside experience using a deep learning framework, with a strong preference for PyTorch
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contextual and behavioral cues to understand human actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal
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two core areas: human neuroimaging or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis
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learning or planning. Experience with ROS2, simulators, LLMs, or underwater robotics is highly valued. Where to apply Website https://apps.udg.edu/contractacioPDI/account/login.aspx?id=recerca&tipus