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. education, work/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed
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-reviewed publications considered by the candidate as most important for this position. Please note that a copy of each publication must be attached as a pdf file. It is permitted to merge copies
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of internal structures in metals during deformation - to understand how and why metals become strong and eventually break. We work with leading international groups on modeling and conduct simulations at DTU
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the design questions using a computational approach to simulate the performance of thermoelectric generators, and subsequently use the model to dimension and design the thermoelectric elements for the heat
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
assessing mold growth and potential impacts on human health. Advanced skills in moisture transport analysis, including experimental investigation and numerical simulation of building envelopes, are required
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for at least two referees. List of publications and manuscripts. Copy of PhD diploma. If awaiting PhD diploma, provide a written statement from your supervisor. Shortlisting may be used in the assessment process
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simulations with our numerical model. Qualified applicants must have: Extensive experience with cleanroom fabrication of electrical devices based on high-mobility III/V semiconductors. High level of
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this position. Please note that a copy of each publication must be attached as a pdf file. It is permitted to merge copies of the selected publications into a single PDF file. A detailed description of research
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complete and numbered list of publications Up to 3 scientific peer-reviewed publications considered by the candidate as most important for this position. Please note that a copy of each publication must be
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for numerical simulations of turbulent flows. Data from DNS, wall-resolved LES, and experiments will be used to train and validate models applicable to wall-modeled LES and RANS. From an application perspective