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join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum foundations and quantum information theory. Your personal sphere of influence: As a university assistant (praedoc
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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cryptography, and will have an interest in interdisciplinary research. Knowledge of mathematics, particularly number theory, to the equivalent of first-year undergraduate level is desirable. We strongly
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) The work will involve novel experimentation, theory and computation in differing proportions depending on the project undertaken. You will be an enthusiastic and self-motivated person who meets the academic
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which can change over time, depending on neural activity. Incorporating the dynamics of the state-dependent delays will require the development of new tools for coupled oscillator theory in time-delayed
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
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theory and computational methods to understand the nature of the confinement mechanism of QCD. Funding duration: 3 years Funding Comment This scholarship covers the full cost of tuition fees and an annual
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PhD level in an appropriate discipline, and you will have sufficient breadth or depth of knowledge in physical acoustics and information theory. You will have knowledge of appropriate research methods
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. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab