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) working on a wearable sensor development project. This project aims to develop a Wearable Sensor Network that integrates wireless, miniaturized sensors to measure physiological parameters across multiple
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Department of Computer Science and Computational Engineering, and the Department of Geosciences. Research infrastructure is provided via existing data, sensor networks, and established field sites along
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the design, fabrication, and characterisation of nanostructured sensing materials, flexible and stretchable electrode networks, and sensor arrays capable of detecting pressure, strain, bending, tactile
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with a truly global impact — contributing directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network
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consistency, repeatability, and scientific validity across different sites and measurement periods. · Ensure that field measurements are properly synchronised with project requirements, including model
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. Working within a collaborative, supportive, and industry-connected research environment, you will contribute to applied research that advances soft sensor development, process modelling, comminution, and
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-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen your career as a scientist. As a
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ecosystems in Estonia, as well as investigating the effects of different forest management practices from an ecophysiological perspective. The employee's responsibilities include carrying out physiological
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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research activities within the USGS network. Required Department Minimum Qualifications: Ph.D. civil engineering, geography, electrical engineering, computer science, geoscience, or related field. Candidates