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to a cutting-edge computational research program in alignment with DIFFER's strategic mission. Use Generative AI in materials science for energy applications, which involves employing deep learning
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Postdoc Computational science for energy materials (X/F/M) Postdoc Computational science for energy materials (X/F/M) Published Deadline Location today 5 May Eindhoven Have you recently completed a
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The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is seeking to hire an excellent and
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qualifications: Strong experimental skills related composites manufacturing and instrumentation for testing and/or monitoring. Background in mechanical/aerospace/civil engineering, materials science, physics or a
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16 Apr 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Physics Researcher Profile Recognised Researcher (R2) Country Netherlands
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Are you interested in layered quantum materials? And interested in performing ultrafast spatiotemporal (electron) microscopy experiments? Then this job advertisement is for you! Position (Post
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willing to work in an international team of physicists and chemists. The candidate should have a recent Ph.D. degree in physics/chemistry/nuclear materials or a related field. Knowledge of nuclear materials
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within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr. ir. R.C. Alderliesten
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novel tools that address challenges across various specialty applications, including organic synthesis, chemical biology, and material science. By bridging the gap between chemical engineering and organic
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Engineering and Geosciences. The researcher will also be supervised by academic staff from the Applied Mechanics and Biobased Structures and Materials Sections at TU Delft. Collaboration with other disciplines