10 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in Ireland
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International Students Project Title: Evaluating technology adoption for a competitive, sustainable and resilient mushroom sector Lead supervisors: Lael Walsh (Teagasc) David Styles (University of Galway) Project
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of Electronic and Computer Engineering, University of Limerick., • Prof Colin Fitzpatrick, Department of Electronic and Computer Engineering, University of Limerick. Overview: The ECODESIGN Doctoral Network (DN
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) involving sociology, psychology, clinical cardiology, cellular biology, advanced biomedical engineering, and imaging technologies. Work Package 3 (Sociology) focuses on how individuals and families understand
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under the theme of Nature-based Solutions, the group of PhD students will work together to understand biophysical and socio-economic process for a case study river catchment in Ireland. Each PhD student
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those from Engineering, Business, Psychology, Chemistry and Industry. The wider PUreTex project is looking at new ways to recycle post-consumer textile waste into useful building blocks for new, more
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, physical and human processes operating across very different spatial and temporal scales. Climate change will alter not only environmental conditions but also habitat configurations, population dynamics
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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in addition to the stipend. Application Procedure Informal enquiries are welcome and can be made directly to Associate Professor Camilla Devitt, Department of Sociology at Trinity College Dublin
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answer these research questions. Contract Type: Fixed Contract, Full Time. Application Procedure: Applications should be submitted as a single PDF file by e-mail (subject line: FI2026-W) to Johannes
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive