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Field
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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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associated molecules to functionally specialised units that either detect the pathogen (sensor NLRs) or execute the immune response (helper NLRs). Some sensor and helper NLRs work as genetically linked pairs
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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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: 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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using model plant species to examine root oxygen status under contrasting environmental conditions. • Application of imaging- and sensor-based approaches to visualise and quantify oxygen dynamics in roots
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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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data integration data quality data analytics programming languages (SQL, Python, Java) Complementary IT skills: machine learning image recognition sensor technologies robotic technologies
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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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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
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sensors, instruments, and data analytics for such applications. The position responsibilities also include giving periodic progress reports via slide decks and written documents, working as part of a multi