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be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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also of growing interest to industry.Project supervisor: Dr. Eoin Delaney (Trinity College Dublin).Project locations: School of Computer Science and Statistics, Trinity College Dublin.PhD structure
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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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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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. The successful PhD candidate will work alongside a team on the URBAN-GeoHeat project. This project