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nanoparticles electrochemistry, wearable electrochemical sensor and microelectrode fabrication and sensing assay. The main duties of the selected applicant will be: As a postdoctoral or project researcher, you
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project funded by the São Paulo Research Foundation (FAPESP) through grant number 2023/00246-1 . The project aims to develop wearable sensors integrated into smart wearable devices for real-time monitoring
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Applications are invited for a 2 year postdoc position in the field of nanomaterials and plasmonic sensors at the iNANO Center, Aarhus University, Denmark. This is a fixed-termed 2-year position
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advances in 3D vision, AI-driven detection, and multimodal sensor integration (RGB, RGB-D, LiDAR), and digital twins. The postdoctoral fellow reports to Dr. Vedhus Hoskere in the College of Engineering/Civil
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devices, mutating enzymes for targeted functions, improving extracellular electron transfer efficiency, and testing of deployable bioelectrochemical sensors. The candidate will also be responsible
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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of wearable devices Knowledge of mechanical design, mechatronics, actuation, control systems, wearable sensors and/or biomechanics Ability to work in a challenging and international environment Capacity to work
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are typically acquired through the completion of a Ph.D. or equivalent. Expertise in robotics, in at least one of robot control, motion planning, integrated sensor-based control, dealing with uncertainty in
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from