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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | about 2 months 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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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | about 2 months ago
with industry to develop new sensors and control systems for buildings. What can you expect? • Creative work in the field of modern IoT technologies and monitoring in practice Diverse activities in
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Refine the pressure-sensing system, calibration and control algorithms Contribute to the durability testing and validation to meet ICU clinical standards Collaborate with a multidisciplinary team of
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such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
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REQUIREMENTS The Department of Electrical Engineering is seeking applicants for a part-time researcher position. Job duties to include: Performing Neuromorphic Algorithms Assisting graduate students
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D