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a particular focus on the contraction phase of T cell responses. This position seeks to elucidate how innate immune sensors detect dying T cells, and how this process influences the resolution
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, wireless networks, software defined networks (SDNs), and future Internet paradigms, underwater communications, satellite communications; Web security and systems security (e.g., remote attestation); User
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strong confidence/belief in a vehicle’s perceived environment based on evidence (local & shared sensor readings) is under addressed, as such shared sensor readings may be subject to spatial correlations
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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and application, where research results are translated to real-life technology? The Technical University of Denmark invites applicants for a 2-year postdoc position on developing sensor prototypes
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peatlands, with little consideration of what this decision may mean for downstream aquatic ecosystems. The postdoc will lead the acquisition and analysis of aquatic sensor data collected from a network of
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. • Experience in integrating real-time data for dynamic urban system modeling. • In-depth knowledge of IoT sensor networks
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence