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Field
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operation under failures, noise, and adversarial conditions, including measures such as QBER and detectability of eavesdropping. The expected outcome is a set of reference architectures, operational protocols
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with expected noise levels and observed natural variability. Finally, this thesis will contribute to the final stages of the GEOSIC project by analysing the results of SAI deployment scenarios to study
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, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and metabolic processes. The research aims to advance fundamental understanding and address
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focus is resilience and security, developing strategies and metrics to maintain dependable operation under failures, noise, and adversarial conditions, including measures such as QBER and detectability
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-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and
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performance. Multistatic radar deployments, which produce several bistatic angles, can aid increasing the signal to noise ratio (SNR), increasing drone detectability and increasing the ability to accurately
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huge signal-to-noise degradation due to significant path loss and blockage [3], which can partly be compensated using high-gain beamforming. Physical layer waveform design is also an important challenge
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biofouling impacts on flow-induced vibration phenomena, structural responses and operational performance of dynamic cables, and to evaluate sustainable antifouling materials, structural design, optimisation
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populations are exposed to a complex mixture of environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history
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environmental stressors, including air pollution, heat, noise, green space, and light pollution, that interact with socioeconomic vulnerability and health history to shape disease risk. Yet most clinical risk