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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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of stochastic multiscale approaches (micro-to-macro) describing nonlinear material behaviour (fracture propagation) by use of physics-based and data driven approach. The performance of integrated thermoplastic
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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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the fields of high-voltage engineering, power electronics and general electrical engineering. Project description Using sustainable energy, back-conversion of CO2 to organic materials is a very interesting
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embedded in the Nanoelectronic Materials NEM department of the faculty of Science and Technology. The NEM department specialises in creating and characterising thin films and designing, modelling and
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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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We are looking for a highly motivated postdoc interested in application of artificial intelligence (AI) algorithms to haptics! Haptic Interface Technology Lab (HITLab) seeks a highly motivated
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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