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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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specialize in MEMS, electronic materials, flexible electronics, biomimetics, sensor technology, and biomedical sensors. Together, we aim to drive innovation and advance the frontiers of sensor technology. This
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electrochemistry and electrocatalysis, materials science and nanotechnology, photocatalysis, photo-electrochemistry, photothermal catalysis and cutting edge in-situ spectroscopy techniques. The research program is
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the activities. We are looking for a motivated and skilled researcher with a PhD in Chemical Engineering, Materials Science, Electrochemistry or related disciplines. Background in electrocatalysis, electrochemical
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. As a Postdoc, you will collaborate with our dynamic team of enthusiastic PhDs and Postdocs, who specialize in MEMS, electronic materials, flexible electronics, biomimetics, sensor technology, and
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chemistry of self-assembling materials to join our team to image the behavior of ice-interactive biomaterials on ice with single-molecule resolution. The goal of your project is to develop and use state
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characterization of functional materials to join our team to design, synthesize, and study ice-interactive biomaterials varying in shape, size, and surface chemistry. The goal of your project is to synthesize a
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Platform for materials-driven tissue regeneration! About MDR The Research Center for Materials-Driven Regeneration (MDR) is a partnership between Eindhoven University of Technology, Maastricht University
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The Catalysis Engineering group focuses on developing sustainable chemical processes by combining chemical engineering, chemistry and materials science. We are looking for a highly motivated