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Field
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physiological signals associated with bruxism in real-time. The successful candidate will focus on: Developing and refining novel wearable sensors that are flexible, comfortable, and capable of capturing subtle
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
tested will have applications for landing on other planets or moons, or even propulsive landing of rocket stages on Earth. These missions require the use of novel guidance algorithms, sensors, and control
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and algorithms for event-based fusion of two physically-colocalized event-based and depth vision sensors, simulate and analyse these models, and explore possibilities to realize them in CMOS ASICs
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qualifications include: 1) experience implementing Simultaneous Localisation and Mapping (SLAM) algorithms; 2) familiarity with sensor-based navigation and field trials of mobile robotic systems. For more
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 16 days ago
are looking for a new member to join our team, which works with industry to develop new sensors and control systems for buildings. What can you expect? • Creative work in the field of modern IoT technologies
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms; implementing and testing ROS nodes
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principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major