32 parallel-computing-numerical-methods-"DTU" research jobs at Aarhus University in Denmark
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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, neuroscience and personalized medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree program. Academic staff
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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development will entail research and development within topics such as system identification and model updating. Your profile Applicants should hold an M.Sc. degree related to the field of computational solid
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production in the making of existential risk imaginaries. To this end, the postdoc will map relevant institutions and actors involved in the construction of existential risk scenarios and inquire the methods
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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department at Aarhus University Hospital, within the Institute of Clinical Medicine at Aarhus University. Researchers in the department use advanced epidemiological methods to study the prognosis of patient