125 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life, allowing
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international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer
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compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
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self-assembly of ligand building blocks will be generated and explored. Detailed kinetic data gathered during these studies will also contribute to machine learning (ML) approaches in collaboration with
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microstructure in materials. A distinctive element of the project is its data-driven approach. Together with colleagues at Saxion University of Applied Sciences, you will contribute to the development of machine
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planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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of the developed technologies in real industrial situations. Visit www.lr.tudelft.nl/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics
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simulation, computer vision, and advanced statistical methods for their analysis. The project also involves close collaboration with industry partners such as shading system manufacturers to develop nature
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validation, experimental data on bulk properties (e.g., electrical/thermal conductivities, transference numbers, electro-osmotic drag coefficients, (transport) diffusion coefficients, viscosities, heat
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and passionate experimentalists with a background in low-temperature electrical transport, qubits and a strong interest in both academic research and technological applications. A doctoral degree in a