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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational
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Computational-Experimental material Engineering of Thermal Spray coatings”, partner of Universitat de Barcelona, for the characterization and processing of novel materials developed in the project for new highly
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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics in a world-class research environment
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(e.g., academia, pharmaceuticals/materials industry, data science). Additionally, you will gain research and communication skills, including a strong emphasis on integrating computational and
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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Physics
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of Materials You will work in the section of Mechanics of Materials (MoM) ( www.tue.nl/mechmat ) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e). The MoM section is
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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, dissertation) Your profile University degree (Master’s or Diploma) in Materials Science, Physics, Materials Engineering, Nuclear Engineering, or a related field Solid knowledge of materials characterization
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 6 days ago
) - all of them world-leading institutions in their respective fields - bring together their expertise in the research on quantum materials and thus offer a truly unique graduate program in this intriguing
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has