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, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects
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G protein and poly-mer brushes. Research experiments should make it possible to determine the limit of detection, specifici-ty and selectivity of biosensors. The sensor response will be realized
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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international
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supporting the setup, calibration, and running of laboratory experiments, including the preparation and configuration of sensors, data acquisition systems, and associated hardware and software components
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of Group/Project: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi
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data management and workflows You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data Extensive experience in multivariate
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Materials Engineering, Nanotechnology and related areas, with an emphasis on the development and integration of sensors for monitoring temperature, structural degradation and humidity based on printed
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role Optimize monitoring strategies for predicting climate-driven slope risksShift from expert-driven, semi-random sensor placement to model-based Optimal Experimental Design Improve parameter
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in the live organism to study e.g. immune responses or cancer development. Moreover, using molecular sensors we also aim to read out cellular functionality in vivo e.g. metabolic reprogramming in
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML