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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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. Furthermore, the PhD candidate will engineer complex genotypes and perform adaptive laboratory evolution experiments. The candidate will work in an international team and is expected to contribute creatively
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. Empa is a research institution of the ETH Domain. Within our focus research Digital Health Solutions, we develop technologies for continuous long-term monitoring of individuals. At the Biomimetic
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of computational chemistry and develop new methodologies that push simulations into length- and time-scales that traditional methods cannot reach. You will be embedded in the Pioneer Center CAPeX, an
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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to cultural artefacts and buildings, and the ways that curators, conservators, scientists, critics, artists and the public responded, this PhD project will develop new understandings of the relationship between
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both individual decision-making and multi-agent cooperation. The student will investigate two complementary directions: ToM-Enhanced Decision-Making for Autonomous Agents: Develop decision-making
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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). The successful PhD candidate will use a combination of adaptive laboratory evolution and rational metabolic engineering to achieve these goals. In addition, they will develop growth‑coupled selection strategies
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited