24 postdoc-density-functional-theory-dft PhD positions at Delft University of Technology (TU Delft) in Netherlands
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PhD Integrated Control & Protection of AC-DC Grids for Secure Operation of Arbitrary Grid Topologies
part of the Electrical Engineering, Mathematics, and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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, under supervision of prof. dr. Arno Smets. The PVMD group is part of the Electrical Sustainable Energy department which is inspired by the technical, scientific, and societal challenges originating from
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taking the limited capacity into account. Both these tasks will rely on dynamic online optimization theory. Finally, we want to analyze the performance of all the developed methods. We will therefore focus
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centers, packaging, handling and storage areas. Generally considered as conventional and merely utilitarian structures, such spaces are extremely relevant for the role they play within local and global
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contribute to this ambition by developing novel methodologies adopting principles from physics, that enable relating the fatigue and durability performance of materials to their mechanical and physical
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adopting principles from physics, that enable relating the damage tolerance of structural materials to their mechanical and physical properties. The theory and methods to be developed will be correlated and
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in the Netherlands. The consortium consists of 11 universities, 2 research institutes, 2 universities of applied sciences, and 19 industrial partners. As part of the Task “Large-scale hydrogen storage
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the development and implementation of state-of-the-art radar technology! Job description Modern ground surveillance radars (GSRs) operate under severely challenging and ever-changing conditions. This class of radar
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faces is with scalability & consistency. This project aims to develop a process model. Job description In this position the candidate will work closely with the industrial partner. The objective is to
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supporting data-driven methods and AI models in plant science. The project is part of the CropXR program, a highly collaborative 10-year national initiative of universities and industry, with a mission to grow