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Field
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electrochemical sensors for biomarkers monitoring”, project code PN-IV-P1-PCE-2023-0198, ref. no. 91PCE/01.07.2025, carried out within the Laboratory for Quality Control and Process Monitoring – LaborQ. Where
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optical trapping and levitation, in particular for the development of novel inertial quantum sensors. We also work on other quantum technologies, such as the quantum control of the nuclear and electronic
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to pioneering research in the field of robotics. Key Responsibilities: Design, implement, and test robust software for robot localization, mapping, and navigation. Develop and refine algorithms for sensor fusion
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Brandenburgische Technische Universität Cottbus | Senftenberg, Brandenburg | Germany | about 4 hours ago
Decarbonisation”, “Health and Life Sciences”, “Global Change and Transformation Processes”, and “Artificial Intelligence and Sensor Technology”. BTU offers its students on both the Cottbus and Senftenberg campuses
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interventions to prevent those health effects, and implement and evaluate the effectiveness of the intervention. Project code: PI5500 – ACRE56 KEY RESPONSIBILITIES Distributing biometric sensors to participants
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, and validation of advanced systems for seismic and geodetic interferometry, with particular focus on the real-time analysis of data acquired from both temporary and permanent seismic and GNSS sensor
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engineering challenges in structural health monitoring systems. Apply industry design standards and practices across both hardware and software development. Work with a wide variety of sensors, including
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, analysing device performance, and identifying opportunities for design improvements to help advance Scion's circular bioeconomy innovations. Research Abstract Smart packaging with embedded sensors is
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of critical devices that serve as control points for campus HVAC systems. Critical devices include but are not limited to relative humidity sensors, carbon dioxide sensors, system flow stations, and
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image analysis, fusion of multi-sensor data (e.g., resistivity + acoustic + NMR) for real-time subsurface characterization, AI-enabled physiological monitoring using multimodal wearable sensors, federated