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, and project management skills. Preferred Qualifications: Experience integrating wearable sensor data with intracranial recordings in real-world or lab. Experience with closed-loop neuromodulation
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simulation methods, which generate photorealistic sensor feedback after each action. Achieving this requires novel view synthesis techniques that enable realistic simulation from previously unseen viewpoints
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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring
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. The primary responsibilities and tasks are: Conduct research in robust positioning methods utilizing GNSS with emphasis on signal- and data processing algorithms and fusion with other sensors with emphasis
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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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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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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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/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences
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community data on plants or invertebrates derived from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous
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of sensor system robustness against adverse conditions - Testing developed systems in lab and outdoor environments - Production of scientific and technical reports. - Production of internal records of data