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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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that limit their predictability and broader application. You will investigate the underlying mechanical principles—including contact stiffness, constraint geometry, and material interactions, in particular
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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cybersecurity Please note, this is open to home students only. PhD Studentship: CyberQuarter. The Studentship is available for an October 2025 start. A PhD studentship that comprises tax-free stipend of £20,870
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applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Metis and Inuit peoples, Indigenous peoples of North America, racialized persons, persons
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actively contribute to this strategic initiative by researching and developing scalable, practical frameworks for implementing Trustworthy AI principles in diverse projects and across multiple technology
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University of Vienna, the PhD program for life scientists and computational scientists/machine learning experts will start in January 2026. The goal of the PhD Program is to address real-world problems in
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expected to undertake secondment(s) during the first three years of the project. Mobility Rule: Candidates must not have resided or carried out their main activity in “host country” for more than 12 months
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for 36 months and the remaining 12 months will be covered by other funding sources. The candidate is expected to undertake secondment(s) during the first three years of the project. Mobility Rule