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directly supporting industry to adopt agile manufacturing technologies and approaches. Find out more here: https://www.csiro.au/en/about/people/business-units/Manufacturing As an Experimental Research
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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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controllers, and PID controls), and preferred sensors (LiDAR and RADAR) is required. Excellent oral and written communication skills. Preferred Qualifications: Familiarity with state-of-the-art models for AI
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Code08003StreetBlanqueria, 13Geofield Contact City Barcelona Website https://doctoratsindustrials.gencat.cat/doctorats/desenvolupament-dun-sensor-de-cortisol-dalta-sensibilitat-per-a-aplicacions-biomediques-i-monitoratge
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intelligent sensors and robotics that revolutionize how we diagnose, monitor, and treat a wide range of diseases. The Postdoctoral Researcher will play a key role in the co-development of advanced acoustic
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Detectors, Space Sensor Physics Profile: We are looking for an experimental physicist with expertise in developing ultra-sensitive detectors (e.g., TES, KIDs, HEBs) for space missions. Research will focus
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- WissZeitVG). The subproject "Water status of the tree crown and stem, transpiration, and radial growth" will determine tree water status via sap flow sensors and automatic dendrometers in combination with
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(PhD Position) Mechanically Soft Micro and Macrocomposites for Wearable Devices within the framework of project A2 of the Collaborative Research Centre 1261 (Magnetoelectric Sensors: From Composite
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of the Collaborative Research Centre (CRC) 1678 on “Systems-level consequences of fidelity changes in mRNA and protein biosynthesis” (https://crc1678.uni-koeln.de ), scientists from different research institutions in
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in the areas of energy transition, mobility, and infrastructure Analysis, processing, and integration of geodata, aerial imagery and sensor data (e.g., ALS data, orthophotos, land cover data