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21st October 2026 Languages English English English PhD position in Smart Ocean Observations and Drift Modelling for Marine Applications Apply for this job See advertisement About us and the project
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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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Doctoral Training Grant Funding Information This funding model includes a 36-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
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generative models of how human tissues develop, mature and regenerate, and of what goes wrong in disease, with a focus on child health. The group starts in January 2027. You will develop generative models
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this on this page . In this project, you will conduct preclinical studies using animal models, including a model for human CAA. You will investigate whether the blood-brain barrier is disrupted in
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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Researcher (PhD student) to join the Tiny Systems and Circuits (TSirc) group at Aalto University's Department of Electronics and Nanoengineering. In this position you will build hardware-aware AI models