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Field
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. Advanced (ambulatory) sensor technology combined with our broad knowledge of the human body as a dynamic system enables (eHealth) technology to improve prevention, diagnosis and treatment of sensory, motor
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Welcome to Maastricht University! Do you want to understand and predict how people engage with digital health interventions using AI? Join us to turn real-world sensor and app data into smarter
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest
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Are you an expert in wearable/flexible electronic sensor technology, bioelectronics, biosensors and real-time health monitoring? Are you looking for a career development opportunity with a
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-edge technologies, supporting hardware integration between bioreactors and sensor systems. Additionally, you will perform data analysis and support automation. Your day-to-day responsibilities will
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lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future
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worldwide community. Our department’s research programme focuses on new strategies to 1) design, build and characterize quantum materials, 2) develop quantum sensors endowed with the ultimate sensitivity
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future
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) develop quantum sensors endowed with the ultimate sensitivity of quantum probes, and 3) convert quantum information between different systems by means of transduction. From these research areas