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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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an entirely open-loop manner, with no real-time measurement of the microstructure being produced. This PhD will develop and demonstrate, for the first time, a closed-loop EM-based microstructure control system
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
leg inertia [Wensing17]. Such rigid structures favor model accuracy and control tractability [Wensing23], but they also limit impact absorption and prevent the robot from exploiting local flexibility
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governed by UK higher education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston-based institution. Founded in 1898, Northeastern received
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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will be based at and affiliated with the University of Oslo (Norway) and will also be affiliated with Columbia University (USA). The research group on statistical models for high-dimensional and
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. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project