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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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calculations of well-characterized 2D materials, simulations of electron microscopy images, and machine learning methods to reconstruct the 3D atomic positions of materials from a 2D microscopy image. The
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modeling to simulate the pavement response under different loading conditions. The research will support improvements of the existing specification for the maximum authorized axle load and mass of vehicles
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. Required selection criteria Experiences with Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA) and Mass Spectrometry (MS) Good programming skills for scientific post-processing
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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progress. Your future tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original
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. The SMARTIER project is funded by EFRO Oost. This position will give you ample opportunities to collaborate with EngD and PhD students, post-docs and other researchers within the Membrane Science & Technology
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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emissions by increasing the use of post-consumer scrap in aluminium production. Your work will enable the creation of high-quality aluminium surfaces that meet the highest standards, all while contributing