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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
. Römer. Leveraging Cross-Technology Broadcast Communication to build Gateway-Free Smart Homes, 17th International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS). 9 pages. 2021. https
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around 200 research different aspects of photonics. Research is performed within nanophotonics, photonic nanotechnology, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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selection criteria Knowledge and skills in the following areas: Robotics, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
sensors) could provide sufficient contextual information to generate an appropriate motion. For example, "take that" could be easily translated into "grasp the bottle", if it is the only item in front of
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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data
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Crover Ltd, gaining hands-on experience in applied robotics, sensor optimisation and product development within a collaborative SME setting. The project offers exposure to real-world storage facilities
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level and across entire wind parks. Modern turbines are equipped with sensors that collect large amounts of operational and environmental data, yet translating these heterogeneous data streams
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level and across entire wind parks. Modern turbines are equipped with sensors that collect large amounts of operational and environmental data, yet translating these heterogeneous data streams
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.\ full-order models, coarse vs.\ fine meshes, sparse sensors vs.\ full fields). The goal is to formalize sources of heterogeneity (input mismatch, output mismatch, partial observability, missing variables