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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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model scenarios, and data which can be used to test the developed models. Measurements will include, for example, water content, and pressure head with local in-situ sensors. In addition we aim to carry
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subglacial hydrology. This NSF-funded project seeks to observe changes in subglacial hydrologic network geometry through two consecutive melt seasons by combining passive seismic, radar, and direct moulin
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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challenges in industrial monitoring and medical care? We are looking for creative minds who will develop the sensor technology of the future. Job description You will play a key role in several research
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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batteries. This includes developing designs for flow fields and spacers, assessing different electrolytes, studying sealing properties and interaction with the (bipolar) membranes, and developing sensors
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Sensing group, https://www.marsens-ugent.be/ ) investigates the vital link between marine ecosystems and ocean carbon cycling using innovative remote sensing and in situ observation technologies. Our
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together