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workflows that integrate modern AI and machine learning concepts (e.g., surrogate models, adaptive sampling strategies) into the drug discovery pipeline to increase throughput and predictive accuracy
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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. Machine-learning-enhanced quantum simulation, including optimization of measurement protocols, regression of observables from single-shot data, and data-driven characterization of complex quantum phases
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