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background in computer science, chemistry, physics, materials science, or a related field. Experience with deep learning frameworks, preferably in the context of generative models. Experience with atomistic
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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behaviour with amorphous liquid-like structure. These mysterious signature properties are ubiquitous across science and engineering, with examples ranging from optical fibres to novel formulations
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Element Method (CFD-DEM) model to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will
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of research tuition fees up to a maximum of four years full-time equivalent for doctoral students and two years for research masters How to apply Please follow the step-by-step application process . Further
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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degree (or equivalent) in Electrical Engineering, Physics, Data Analytics or other relevant areas. Overseas/EU: Applications accepted until 31st May 2026. Home/UK: Applications accepted until all places
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, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational