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- Eindhoven University of Technology (TU/e); yesterday published
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
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Field
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into metallic iron has received increasing attention as it offers a truly zero-emission ironmaking for applications of green steel production and iron-based energy storage. One problem, fundamental understanding
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(including other scientists and industry partners) relevant to the project. Experience in i) metal recycling and recovery, and/or ii) applying artificial intelligence methods for materials characterization is
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Are you an engineer who wants to contribute to sustainability, reducing carbon emissions, and materials recycling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Inorganic Chemistry, Material Sciences or other appropriate fields. You
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Can scrap steels become the future of high-performance 3D printing? Join us in reshaping metal manufacturing by turning industrial waste into precision-engineered components through 3D-printing! Job
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Earth Sciences, Inorganic Chemistry, Material Sciences or other appropriate fields. You will work on the project: Quantifying lithium partitioning between rock-forming minerals and silicate melt. Your job
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manufacturing and optimization of advanced PTL/MPL architectures, with the goal of improving efficiency, durability, and reducing precious-metal requirements. This is a unique opportunity to combine modeling
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suffice, since emerging contaminants, such as pharmaceuticals, heavy metals and pathogenic micro-organisms are not captured at a real-time basis. As a PhD researcher, you will integrate state-of-the-art
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for water quality monitoring do not suffice, since emerging contaminants, such as pharmaceuticals, heavy metals and pathogenic micro-organisms are not captured at a real-time basis. As a PhD researcher, you
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage