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of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and sustainability assessment
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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acoustic field reconstruction techniques using sensors integrated into wearable devices. - Develop new experimental techniques for capturing audio signals and manipulating sound fields, with direct
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi are internationally recognised world
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: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi are internationally recognised world
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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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