29 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"GEUS" positions at ETH Zurich in Switzerland
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Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction
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10%-30%, Zurich, fixed-term The Digital Character AI team at ETH Zurich's Computer Graphics Laboratory is looking for a Student Research Assistant to support the development of our interactive AI
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bring-up, debugging, and validation Integration of sensors, microcontrollers, FPGAs, SoCs, and embedded processors Embedded programming in C/C++ Real-time signal processing and embedded perception, hardware
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. Our current projects involve large-scale web and text analysis, as well as computer vision and visual data analysis. Applicants may have experience in one or both areas described below. You do not need
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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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strong background in machine learning, computer vision, or 3D point cloud processing, as well as in probabilistic modelling and Bayesian inference Very good programming skills, preferably in Python
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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automation, continuous integration, release management, and requirements traceability. Develop and execute flight software unit tests, conduct integration, software-in-the-loop, processor-in-the-loop, hardware
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, eventually leading to a scalability advantage over the neutral-atom state-of-the-art. We have recently overcome an important bottleneck in optical-lattice-based quantum processors, by integrating topological
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using clinical and sensor-based data. The position provides exposure to multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and