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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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. Entrepreneurship and Technology. Double accredited by AMBA and AACSB, a member of PRME and an Athena SWAN bronze awardee, CUBS is in the top 5% of business schools globally. We are looking to recruit 1 full-time PhD
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
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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