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-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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. FutureNeuro brings together multidisciplinary scientific teams with clinicians and industry to deliver advances in diagnostic medicine, personalized and network therapeutics, cross-linked by a national e-Health
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research in areas of concrete decarbonization, utilization of marginal and nonconventional pozzolans, prediction and mitigation of alkali-silica reaction, and development of sensors for assessing concrete
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family of printable high-gauge factor wireless sensors by building and extending our related background intellectual property. Responsibilities : Collaborate with the development of a new family of RFID
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closely with Dr Zsófia Boda on the ERC Starting Grant project: “Applied stereotypes, social networks and self-fulfilling prophecies: How stereotypes reinforce social inequalities”. You will take a leading
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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multisource data (IoT, sensors, satellite images, social media, administrative data). Understanding of urban planning issues (urban forms, basic services, sustainability, resilience). Personal and
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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research tasks investigating navigation and integrity assessment of several aircraft-related sensor modalities. The candidate will be mentored by Dr. Jay Wilhelm (Associate Professor of Mechanical