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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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oriented environment where many cultures meet. Proficiency in English is a requirement. Specific qualifications: Ph.D. in Chemical Engineering, Physics, Materials Science, or a related field but with clear
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electrical engineering. Project description Using sustainable energy, back-conversion of CO2 to organic materials is a very interesting, but highly challenging concept. The aim is not to regenerate fuels but
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. Knowledge in composite materials is a plus. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package
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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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. Knowledge in composite materials is a plus. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package
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15 May 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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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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14 May 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile Recognised Researcher (R2) Country Netherlands Application