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landscape of Alzheimer's Disease-Modifying Therapies (DMTs). The research will examine multiple dimensions of system readiness through an interdisciplinary lens - from diagnostic pathways and workforce
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are part of a larger project that seeks to integrate experimental and theoretical approaches to build sustainable synthetic platforms aligned with renewable energy technologies. The successful applicants
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from multiple high-income countries, including the UK (UKHLS), Germany (SOEP), Australia (HILDA), and the US (PSID), alongside ageing studies such as SHARE, ELSA, and TILDA. Where feasible
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-pages max) indicating how their skills align with the project and their motivation for applying. Please include ``PhD Application (AI-Driven Energy Optimization in Next-Generation RANs)'' followed by your
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) indicating how their skills align with the project and their motivation for applying. Please include “PhD Application” followed by your name in the subject line. The application CV should, at minimum, include