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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
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analysis has not yet been conducted. This leaves stakeholders unable to statistically and systematically assess the quality of official network maps. Could this be done differently? Is it possible
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problems. However, they are still plagued by undesired interactions between different quantum bits (crosstalk) and between quantum bits and the environment (decoherence). These effects limit the size
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algorithms for optimal operation of grid-integrated LDES; Develop a co-simulation framework to analyse LDES performance under different grid scenarios. Collaborate with consortium partners to translate
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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creating robust, low cost, and real-time edge-AI algorithms capable of accurately classifying diverse marine species and debris under complex and dynamic underwater conditions. The demand for such a low-cost
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Refine the pressure-sensing system, calibration and control algorithms Contribute to the durability testing and validation to meet ICU clinical standards Collaborate with a multidisciplinary team of
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, for the development of embedded algorithms and control systems, paradigms of shared-control and sensory feedback for wearable robots like limb prostheses or wearable devices for assistance and (neuro)rehabilitation
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, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce