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Field
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sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued
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The development and integration of precision livestock farming tools represent a key element for optimizing and designing predictive models aimed at monitoring animal welfare. Available technologies and sensors
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a
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the robot and sensors. You will evaluate the methods for completeness, robustness, and runtime on representative datasets and iteratively improve both the setup and the algorithms. What you contribute Very
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Algorithm Developer (KTP Associate) ( Job Number: 25001803) Department of Mathematical Sciences Grade 7: - £41,064 - £46,049 per annum Fixed Term - Full Time Contract Duration: 18 months Contracted
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high throughput PDU equipped with VOC sensors, an algorithm, and a database. The PDU will enable rapid (Ultimately, the PDU is intended to be a cost-effective, user-friendly, adaptable, and efficient
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems. Algorithm
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description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms