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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 months ago
infrastructure, as well as the meteorological environment that can influence wildfires, using sensor data gathered from a variety of sources, including satellites, aerial, and ground-based systems. Using this data
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Research Council (NFR) Grant: DynAMIC (Detecting episodes of Arctic sea ice Mass Imbalance) . DynAMIC aims to observe three-dimensional changes in the Arctic’s sea ice cover from a multi-sensor constellation
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the Arctic’s sea ice cover from a multi-sensor constellation of satellites, developing a system for detecting rapid sea ice mass changes driven by deformation, and enabling updates to the constraints on sea ice
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: DynAMIC (Detecting episodes of Arctic sea ice Mass Imbalance) . DynAMIC aims to observe three-dimensional changes in the Arctic’s sea ice cover from a multi-sensor constellation of satellites, developing a
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borehole seismic data obtained with various sensors. Assist in planning, design and implementation of field experiments to collect high quality geophysical data for research projects utilising fibre optic
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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activities, and forward and inversion modelling for quantum technology-based gravity gradient sensors and other geophysical sensor data. The successful candidate will focus on designing, planning and
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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properties. The direct integration of such nanomaterials in microelectronic chips / CMOS can enable fabrication of compact, wireless, power-efficient, low-cost smart sensors (e.g., gas and pressure). In this