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. The development of quantum algorithms is speeding up in step with the fast developments of the quantum hardware needed to run them. Important here is a precise understanding of the speed and viability
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to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and
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patterns and insights from complex neural datasets. Develop and implement algorithms for preprocessing, spike sorting, and decoding neural signals. 2. Computational Modeling: Design and develop rate-based
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research