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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value
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biomimetic materials, self-healing concrete, extreme wave and flood modelling, IoT and intelligent control systems, renewable energies, robotics, automation, and supply chain management with academics and
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lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high
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, which specializes in modelling, control, and optimization of mechatronic systems and processes (https://dynamics.ugent.be ). We are looking for a motivated and talented PhD student to delve into the field
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models and/or
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MLOps pipelines, CI/CD workflows, and containerized deployments for on-premise, and hybrid DoD environments. Design API-based AI services for integration into command-and-control systems, decision support
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, LDAP, TLS, and HTTPS Knowledge of multi-media presentation and lecture capture systems desired. Knowledge of IP based video conferencing systems desired. Understanding of high-performance computing a
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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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concurrently heated with an additional external stimulus. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves