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one of our ongoing research projects: Position 1: Postdoctoral Researcher in Smart Video Sensorization for Healthcare (SViSenS Project) As a postdoctoral researcher, you will contribute to the Smart
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to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
with embedded real-time systems are desired. This position will carry out research on sensor fusion, perception, and control of autonomous vehicles for different applications such as transportation
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digital twins that simulate and predict nitrogen use efficiency (NUE) in forage grasses and oats. By combining high-resolution phenotyping data from the TraitFinder system, drones, and robotic sensors with
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knowledge (data loggers, sensor connection, and sensor functionality.) Experience in scientific paper writing Limited teaching can be expected within the research area (and in other study programs
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the advent of the Internet of Things (IoT), any sensor can be interfaced with a local network or the Internet. This massive deployment has created many security issues and associated solutions
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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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NCN Opus. The successful candidate will be part of the project team at AGH with (prof. Tomasz Szumlak) to work on innovative silicon 4D sensors dedicated for the upgraded LHCb (Upgrade II) experiment
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) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain