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for the future of healthcare. Job requirements We are looking for a highly motivated PhD candidate who is curious, hands-on, and excited to work at the interface of engineering, materials science and biology. You
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potential determinants of participation in AI-enabled energy-sharing schemes. In addition, the PhD candidate will collaborate with a range of stakeholders, including technology developers, Energy Community
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evidence may be limited or contain uncertainties when a device is assessed for market access. Regulators and notified bodies therefore need to decide when evidence is sufficient, what uncertainties can be
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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the scenario generation and assessment capability the above requires. Make these tools usable by other researchers and policymakers, in line with the lab's open-science approach. Facilitate future expansion to
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Swallowable sensors are limited by how long they stay in place. A capsule passes through the gut within a day or two, so it can only take a snapshot when conditions such as inflammatory bowel
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understood. In particular, we need to know how the solid layer develops, how it affects heat and mass transfer, and how surface design can improve the efficiency of the process. As a PhD candidate in the
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European Doctoral Network funded under the Horizon Europe Marie Sklodowska-Curie Actions programme. The i3WaterS network brings together leading universities, research centres, technology developers, and
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engineering. Entry requirements Applicants should possess: A Bachelor degree (2:1 or above) or a Master's degree (MSc, MEng, MPhys, MRes, or equivalent) in a relevant engineering or physical sciences discipline
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and