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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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-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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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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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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to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes
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to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes
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, linking theory with the latest discoveries in this rapidly growing field. It has been just over a decade since the first detection of gravitational waves, marking the birth of a new field in astronomy
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, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation