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-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields
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track record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Computer Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics
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, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
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consistency models. These models rest on a joint foundation of deep learning architectural research and mathematical theory. They therefore present an exciting research area for theoretically minded individuals
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? Then come join us as our next PhD-candidate in the Uncertainty in AI group! Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7482 Job description The
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classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence, pharmacy and nanoscience. Our community has an open and informal
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combination of mechanism-based mathematical models to describe drug concentrations and effects, and statistical models such as nonlinear mixed effect models to quantify and predict variability between patients
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probabilities Robust stochastic processes Tractable models and decision-making Online/continual learning with evolving data Requirements Specific Requirements Master's degree in Mathematics, Statistics
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of the Amsterdam Business School. The Faculty of Economics and Business (EB) at the University of Amsterdam (UvA) offers academic education in economics, fiscal economics, econometrics, mathematical economics
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very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in