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CATSINaM (Congress of Aboriginal and Torres Strait Islander Nurses and Midwives) Scholarships | Australia | about 17 hours ago
The Congress of Aboriginal and Torres Strait Islander Nurses and Midwives (CATSINaM) is offering three (3) professional development scholarships to support eligible members to attend key conferences
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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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