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Field
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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Interested in working on a the future of optical inertial sensing for mechatronic vibration control? Join our team! Job description The CHiPS (Compact High-Precision Sensors) project aims
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in quantum clocks and sensors. The network offers international secondments, joint training events, and close interaction with an international cohort of doctoral fellows. The doctoral candidate will
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Experience in designing software systems General overview and understanding of the working principles of sensors and robotics Applicants are invited to submit a research plan outlining their approach
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include: Applying controlled stress treatments Phenotyping stress responses with various sensors and gene expression studies in real-time PCR RNA sequencing and transcriptome analysis with corresponding
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heterogeneous and opportunistic sensor networks. Therefore, such an approach may significantly improve rainfall and runoff predictions. Research goals: Our primary goal is to improve the accuracy and prediction
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on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors for water quality monitoring do not
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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description Cities depend on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors