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Field
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: • Experience of applying CFD to a complex problem • Appreciation of meshing requirements for aerodynamic simulations • Experience with machine learning or data-driven modelling techniques Funding
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cryogenic modelling, two-phase CFD, and AI-based reduced-order models to accelerate modelling capability in net‑zero aerospace technologies. Motivation Hydrogen research has accelerated to address the need
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 16 hours ago
Chromatin Structural Biology laboratory to investigate how dynamic protein–protein interactions control transcription elongation in chromatin. Transcription by RNA polymerase II relies on a dense network of
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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volunteers and analysing complex hormonal and physiological datasets. You will work with collaborators across the training network including a secondment to a specialist primary aldosteronism centre in Munich
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towards the next-generation co-design platform, accelerating the development cycle for complex interdisciplinary systems. Motivation Aircraft design is a highly complex process that must balance performance
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wide range of disruptions and response strategies Background The railway network in the United Kingdom is both complex and extensive. In 2024, it recorded approximately 1.7 billion passenger journeys
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conducting a study with healthy volunteers and analysing complex hormonal and physiological datasets. You will work with collaborators across the training network including a secondment to a specialist primary
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network congestion. However, these PEDs substantially increase the complexity of protection of LV networks, with major issues of voltage/current waveform distortion and reduced fault level necessitating
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UiO/Anders Lien 8th March 2026 Languages English English English Unique opportunity within the Marie Sklodowska-Curie Actions(MSCA) Doctoral Network HEPARD PhD Candidate in Health Economics and