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all climbers according to established protocols. Assist with maintaining the sensor networks and data collection behind our long-term projects; including the NADP site, the lake buoy and its data, the
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mechanical equipment to digital systems, as well as assuring continuous data retrieval have experience with a wide range of sensor technologies and how to develop and program environmental sensor networks
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offers close collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant
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consumption throughout manufacturing and their use in smart cities or other smart methodologies. HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor
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their use in smart cities or other smart methodologies. HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor networks, the IoT and mobile devices, using
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Systems , the Chair of Measurement and Sensor System Techniques (MST) offers a position as Research Associate / PhD Student / PostDoc (m/f/x) Multidimensional Optical Information Processing (subject
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<span lang="en">TUD Dresden University of Technology</span> | Tharandt, Sachsen | Germany | about 11 hours ago
familiarize oneself with technical installations and sensor networks
- capability for intensive fieldwork campaigns in harsh environmental conditions is essential while advanced understanding of tree
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, crop stress, flooding, drought, salinity, and related responses; • Integration and analysis of field measurements, sensor networks, remote sensing, unmanned aerial systems, GIS, and complex spatial
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instrumentation, remote sensing, UAVs, sensor networks or environmental monitoring technologies Experience serving as PI or Co-PI on extramurally funded research Physical Requirements & Working Conditions Work in
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 25 days ago
controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at