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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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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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researcher with a PhD in Chemical Engineering, Materials Science, Electrochemistry or related disciplines. Background in electrocatalysis, electrochemical characterization techniques (e.g., impedance
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, Nanoscience, Materials Science, Engineering or similar. A strong background in at least one of the following topics: 1) single-molecule microscopy/spectroscopy (e.g. smFRET), 2) DNA nanotechnology, 3) 2D
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please use the following link: https://www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and