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-doctoral researchers, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control
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, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal, or eye tracking) is an advantage, especially for
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
component across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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-learning algorithms. A significant part of the position will also involve teaching and student supervision, particularly in the areas of embedded systems, FPGA design, electronics, and machine learning on
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
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encompassing perception, planning, and control. The PhD student will contribute to one or more of the following topics: theoretical foundations and geometric formalization, representation learning, robust
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mapping methods with advanced machine learning feature detection to enable evolving subsea scenes to be robustly aligned across repeat surveys. You will develop probabilistic models to detect subtle
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prediction and cofolding Machine learning guided virtual screening Taking on organizational tasks and writing grant applications Your Profile The ideal applicant has a strong background in computational
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engineering foundations for future clinically deployable systems. The successful candidate will develop learning-based perception, planning and control methods and integrate them with patient
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, self-motivated, and team-oriented person who enjoys working on the theoretical and applied foundations of acoustic machine learning. Your CV comprises: Solid foundations in signal processing and