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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by bringing together a
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faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies
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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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: How does decoherence emerge in complex quantum systems? Can we emulate and study complex many-body physics? Can we use quantum coherence to realize novel improved sensors? Can we protect quantum states
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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we use quantum coherence to realize novel improved sensors? Can we protect quantum states and computations indefinitely so that large-scale quantum computations become possible? And does quantum
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interventions using AI? Join us to turn real-world sensor and app data into smarter, personalized digital solutions that support behavior change. PhD Candidate Predicting Adherence to Digital Health-Promoting
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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