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lifecourse epidemiology. Main Methods and Techniques This project will take a complex systems approach to assessing how a child’s home learning environment is situated in and affected by their families’ social
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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autonomous systems. You will have the freedom to shape the project direction, experiment with novel ideas, access state-of-the-art AI and computing facilities, receive tailored training and professional
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Data Scientist to support a programme of work focused on enhancing
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PhD programmes and looking for hands-on research experience on high-impact questions in energy and environmental economics. Key Responsibilities for the role include: Data collection, cleaning, and
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., blockchains), AI safety, and privacy, with potential impact across domains such as finance and healthcare. Applicants are expected to have an MSc degree in computer science or other majors related
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. Complementing this are transferable competencies such as technical writing, critical thinking, cross-disciplinary teamwork, and systems-level reasoning. Graduates will be prepared for high-impact careers in smart
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into how heat accumulates within classrooms and how it influences comfort, concentration and wellbeing. This PhD project will investigate how summer heat affects indoor conditions, health, wellbeing, and
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but