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commonly used in Robotics Expertise in the use and development of Robotics/or sensors for marine applications Strong background in algorithm development for perception, navigation and positioning
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ABOUT GHENT UNIVERSITY Phd position Markerless Motion Capture using Wearable Sensors Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education
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the hardware and the visualisation algorithms, running demos, organising and conducting trials, discussing with the manufacturers, and implementing the project’s advisory group suggestions, collecting and
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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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endocrinology. Research Fields: Endocrinology, Chronobiology, Reproduction, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments: University of Ulm (D): To work with algorithms
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into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems
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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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to dispersed systems: grains, particles, droplets, bubbles, and porous media. It also has expertise in sensor and instrumentation development. The PhD will be carried out in collaboration with the NEEL Institute
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Designing algorithms and writing secure code in either C, Python, ladder logic, Structured Text, or similar languages Securing sensors, actuators, and other connected devices Configuring Local and network