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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- Delft University of Technology (TU Delft); yesterday published
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- Eindhoven University of Technology (TU/e); 27 Sep ’25 published
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engineers and researchers. Publish findings in peer-reviewed journals and present at international conferences. Job requirements The ideal candidate: Holds a PhD degree in Mechanical Engineering, Chemical
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. - Copies of PhD diploma and a copy of the PhD thesis. - Copy articles, book chapters or other academic texts that you feel represents your work best. - Contact details of two academic referees (no letters
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technologies for green steel production. For this position, we are expecting the candidate with the following qualifications: You hold a PhD degree in chemical, metallurgical or materials engineering. You have
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kinetics using experimental studies and process modelling and simulation. The team bridges fundamental science with practical, real-world applications, contributing to circular economy innovations. You’ll
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PhD to join our team (one year with the intention for extension to up to three years, full time, fully funded) at the Hydrology and Environmental Hydraulics Group (in collaboration with the Water
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Engineering Division, Systems Department, Directorate of Technology, Engineering and Quality. Within a multicultural, dynamic and multidisciplinary team, the Modelling and Simulation Excellence Section is
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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or engineering. Preference will be given to applications submitted by candidates within five years of receiving their PhD. Additional requirements In addition to your CV and your motivation letter, please prepare
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, or a publication). A copy of PhD certificate (or proof for the submission and approval of the manuscript) and list of grades. Contact information of two academic referees. You may apply
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine