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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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environment that brings together expertise in computational design, digital fabrication, and architectural history/theory. The project will be situated within ongoing explorations of robotic fabrication
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the area of Actuarial Sciences, Econometrics, Mathematical Economics and Game Theory, and Operations Research. Members of the department teach in the BSc and MSc programme in Econometrics & Operations
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unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential
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or institutional theory. Experience or affinity with active modes of doing research such as engaged scholarship, transdisciplinary research, and/or ethnography and corresponding research methods. Ability to work
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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-based PhD program. The department has a strong commitment to theory development and innovative research, but we also prioritize the societal value of our research and devote ample time and attention
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of advanced theory formulation and method development as well as systematic integration of theory and empirical research. The student will be trained in the ICS. The Interuniversity Center for Social Science