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interdisciplinary and qualitative empirical research and a sense of urgency for turning theory into practice and practice into theory in close collaboration with the research team and their partners. Information and
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Operations Research, in particular on exact and approximate methods in Markov decision theory. Our new colleague is envisaged to work on applications in healthcare optimisation, but also expand the current
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, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving
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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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and de-fossilizing 1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic
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-free as possible. We achieve this by combining three recent exciting novel developments in mathematical statistics. The new theory of hypothesis testing with e-values, co-developed by Dr. Rianne de Heide