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computer chips and more sustainable IT technologies. Your research will be to design and fabricate magnetic thin films using the NanoAccess facility, contribute to the development of the ‘optical pen
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life and other properties. On a microscopic scale, damage from improper machining often manifests itself as white etching layers (WELs), which are observed as thin layers on the machined surfaces
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About the project: Multi-scale modelling of Thin Film Deposition with Flowable CVD for Next-gen Semiconductors Supervisor: Dr Bora Karasulu, University of Warwick This project, co-funded by Merck
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Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin
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25 Feb 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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in machine learning and IA-driven data analysis for materials science, thin-film growth, materials science, and mastery of state-of-the-art structural and optical characterization tools. Upon
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integrated onto drone platforms engineered by project partners, with the objective of assessing the structural integrity of concrete façades. Objectives The objective of this PhD thesis is to develop a Machine
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- Eng-PhD-05-25 Understanding Runoff Dynamics in Small Flash-flood-prone Catchments - Eng-PhD-06-25 Improved defect detection of Guided Wave Inspection Using Machine Learning-Driven Signal Processing
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the chance to contribute to innovative materials science with real engineering impact for net-zero technologies. Aim This PhD aims to develop a new class of thin-film high-performance ceramic insulation