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stability and ensure safety. We will apply classical plate counting using both non-selective and selective media for both quantitative and qualitative microbiological characterization. In addition, we will be
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algorithms for the prediction of molecular properties and spectra on hybrid classic-quantum architectures. Responsibilities and qualifications Development of Quantum Algorithms for Quantum Chemistry
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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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construction materials and we are learning about the mechanisms and final solids produced during reaction with water and CO2 . We combine theory and experiment using a range of classical and high tech techniques
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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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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