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Field
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sensor platform for PFAS detection in environmental and food samples. PhD candidate in Molecular Imprinting and Device Fabrication at the Sensor Engineering Department Job Description This PhD project aims
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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an electrochemical sensor platform for PFAS detection in environmental and food samples. PhD candidate in Molecular Imprinting and Device Fabrication at the Sensor Engineering Department Job Description This PhD
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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probe microscopy. Our research focuses on using single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and
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, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the
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choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches
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language model (LLM) technologies to create advanced, multimodal predictive tools for plant health monitoring. Using imagery from RGB cameras, drones, satellites, and multispectral and hyperspectral sensors
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11 Sep 2025 Job Information Organisation/Company University of Stuttgart Department Institute of Smart Sensors (IIS) Research Field Engineering » Electronic engineering Chemistry » Instrumental
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., PyTorch, TensorFlow) and medical image analysis libraries (ITK, VTK, Slicer3D, MONAI) Experience with hardware-software integration, including encoders, sensors, and safety aspects of robotic workflows