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Field
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. You should be experienced in studying biodiversity, ideally with experience in lone working and the deployment of environmental sensors in a field setting. While you will work in collaboration with
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to sectors such as Geographic Information Systems (GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: Definition of reusable models and components
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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(GPR), complemented by soil sensors and borehole data. A particular emphasis will be placed on the combined use of borehole and surface GPR, as well as small-scale EMI measurements in controlled
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: Experience with physiological or movement data, such as electrocardiography or wearable sensor data. What else do we offer you We offer a temporary full-time position of 38 hours a week for a term of 4 years
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indicators and neurotransmitter sensors (fiber photometry), opto- and chemogenetics, engram visualization and mouse behavior. By joining our team at the University of Amsterdam, you will contribute to a deeper
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significantly. Unfortunately, it is challenging to measure groundwater fluxes in the field. A new iFlux sensor prototype to measure real-time groundwater fluxes in the field is a promising technique, but is a
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minimise such loss through the use of generative AI to augment training sets is proposed. Multimodal sensing: The use of open-loop or simplified (e.g., single-sensor) closed-loop systems in food automation
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ecosystem health in the northern Scandinavian mountain ranges. The project will include fieldwork in the mountains near Abisko in northern Sweden, where eddy covariance sensors will be used to measure ET in
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods