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processing, storing and visualising sensor data for the acquisition of biophysical indicators for the early detection of forest fire risk situations (air temperature, wind speed and direction, relative air
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analytical tools (including sensors and drones with multispectral cameras). Statistical analysis of experimental data for quantitative and qualitative assessment of soft wheat grain. Crop-environment
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-based robot for inclusive education”, “2024.15729.PEX”, “DOI: https://doi.org/10.54499/2024.15729.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under
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in a team environment Highly organized with excellent communication and interpersonal skills Preferred Qualifications: Experience with eye-tracking or wearable sensor technology Background in clinical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
techiques Excellent track record of research achievements and publications in top-ranked journals Advanced hands-on experience in optics, sensors, lasers, optical fibers Strong experimental and engineering
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from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous datasets is important. The successful candidate
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platforms. This involves mastering sensor fusion, real-time decision-making, and engineering robust fault detection and recovery mechanisms critical for physical safety. Smart Manufacturing Systems: Advance
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Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
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inspections and calibration of temperature/pressure sensors. Technical Consultation: Act as a subject matter expert for the Sterile Processing Department (SPD); advise management on equipment lifecycle, adverse
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Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological