32 finite-element-method Postdoctoral positions at Technical University of Denmark in Denmark
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heterostructures for high-frequency applications. State-of-the-art physical vapor deposition methods (PLD and Sputtering) and laser interferometry are available for the fabrication and characterization
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have a few projects related to our novel method, AQUADA, which uses thermography and computer vision to detect damage in wind turbines and PV panels. We are looking for a new colleague to further develop
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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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bacteria, including E. coli. Experience with investigating protein folding of complex proteins. Development of synthetic biology tools for modularizing genetic elements to facilitate efficient cloning and
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guest metal ions and structural defects in metal oxides. The project focuses on understanding and utilizing redox properties of solid materials and the interactions between structural defects, metal
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Job Description We are seeking a motivated postdoc to work on the design and development of i) a variety of sample preparation methods (mainly for blood samples) and ii) new fiber-based substrates
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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quantitative Mass Spectrometry-based proteomics methods for this project. The successful candidate will work closely with experts in bioinformatics and in cellular signalling to make informed decisions on data
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods