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Field
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seconds), 2) very compact, allowing a SBEC magnetometer to search for short-range monopole-dipole forces that are out of reach of other sensor technologies and 3) very clean, well-understood systems
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from data from a multimodal sensor. Merging data from multimodal sensors located in different spatial positions: calibration and synchronization. Transforming fused data: sensor fusion and feature fusion
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-sensor monitoring (temperature, humidity and acoustics) and predictive modeling (AI) of the properties of the mixtures (both poured and 3D printed concrete). The mission is to optimize curing processes
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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or background: Background in biosensors, preferably with demonstrated experience in photonic sensors. Experience in surface chemistry and sensor functionalization, especially for silicon-based surfaces
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
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. Specific Requirements Previous experience in chip design, hardware implementation of complex dynamics and learning algorithms, as well as knowledge of memristors, will be highly valued
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perspective. Sensors of animals and their environment will be used and connected to cloud services. Massive, real-time data will be used to perform an integrated environmental and energy evaluation of the farms
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batteries, along with advanced sensor systems. A key focus is micro integrating energy sources and sensors into autonomous, self-powered platforms by leveraging standard silicon technologies, rapid