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We have 12 Artificial Intelligence (structural) PhD Projects, Programmes & Scholarships for Non-European Students

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I am a non-European student


Artificial Intelligence (structural) PhD Projects, Programmes & Scholarships for Non-European Students

We have 12 Artificial Intelligence (structural) PhD Projects, Programmes & Scholarships for Non-European Students

Monitoring and evaluation of composite pipes using structural waves

Supervisory Team.   Dr Michal Kalkowski, Prof Michele Meo. Project description. We invite applications for a PhD position in the field of non-destructive evaluation (NDE) of composite pipes. Read more

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

PhD position in Materials Informatics

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab. https://www.m4l-lab.com/) at Villanova University is looking for one Ph.D. Read more

Using machine learning to evaluate atomic force microscopy nanoindentation data

The University of Southampton is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. Read more

Influence Maximisation and Counter-Narratives for Mitigating Harmful Viral Posts in Social Networks

Aim and Goals. The core objective of this PhD research project is to delve into the intricacies of Influence Maximization (IM) within social networks, thereby identifying influential users capable of spreading messages effectively across these platforms. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more

https://www.jobs.ac.uk/job/DEZ391

Supervisory Team:   Dr Yongmin Jung and Dr Ali Masoudi. Project description. This is an unparallel opportunity to redefine the landscape of distributed sensing systems and contribute to groundbreaking developments in healthcare, environment monitoring, and beyond. Read more
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