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Field
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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sensor data collected in barn environments. The research is conducted at SLU in close collaboration with European research groups within EUPHAW. The work takes place in a multidisciplinary research
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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interpretation of data. Collaborate with partners within the project and others as appropriate The post holder will join the Microwaves & Antenna Engineering Group (https://microwaves.site.hw.ac.uk/) and will be
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that work individually or in swarms (groups). The focus is on developing methods within control, sensor and communication systems, for such systems. The work involves both simulation and practical testing
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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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, administrators, or patients • Integrating multi-source, high-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data) • Contributing to translational research that tightens the loop
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person will join the project funded by the European Commission "DistriMuSe: DISTRIBUTED MULTI-SENSOR OPGS FOR HUMAN SAFETY AND HEALTH" and will join the Health Care Research Group (GRECS) within