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, metabolome data, imaging data and general health data (e.g. from electronic patient journals, or other registers). Classical genetic studies often use polygenic risk scores (PRS), which sum up the effect over
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-classical states of acoustic modes at low temperatures using CV quantum states, low-loss CV detection schemes, and CV protocols. Quantum sensing with spin-mechanics Explore the coherent coupling of a high
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learning-classical potentials, to study the electrochemical response to external magnetic moments in Kagome Materials. The goal is to discover materials and tunable magnetic conditions able to reduce
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interdisciplinary research and education. We combine classical and modern humanistic disciplines and promote innovative thinking and a commitment to contributing to society. As part of our large and diverse
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community participation in society through interdisciplinary research and education. We combine classical and modern humanistic disciplines and promote innovative thinking and a commitment to contributing to
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of the research project is on understanding and improving the performance of classic learning algorithms, in particular Boosting and Bagging, both in terms of speed and generalization capabilities. The project also
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matrix of MSRs. We will benchmark the framework against experimental data. Our approach consists in coupling ab-initio quantum and classical molecular dynamics (MD) modelling techniques with x-ray
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investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives