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significant cost savings for offshore wind energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete
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exact methods and quantum quenches in holography. We are looking for a candidate who must hold a master degree in theoretical physics and have a strong background in quantum field theory and holography
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incorporating time-dependent source depletion. (4) Reducing uncertainty in groundwater risk assessments through refined numerical methods. (5) Applying the improved model to real-world groundwater contamination
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multidisciplinary team and use state of the art methods such as Nanoindentation, Raman Spectroscopy, Digital Light Processing, Two-Photon Lithography, Electron Microscopy, and Numerical Simulations. Your research
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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methods Knowledge of handling radioactive materials is considered an asset Experience in radiochemical methods is considered advantageous Highly qualified and highly motivated graduates and interested in
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of recycled aluminium. More specifically, the project will focus on advanced numerical methods to understand how defects and different microstructures affect the strength of mega-cast components. As a PhD
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research