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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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, 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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of physicists, materials scientists, engineers and biochemists. We are looking for candidates that meet the following criteria: PhD degree in Physics, Biophysics, Nanoscience, Materials Science, Engineering or
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the Zernike Institute for Advanced Materials. The research group Photophysics and OptoElectronics is part of the Zernike Institute for Advanced Materials in the Faculty of Mathematics and Natural Sciences
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an advantage and should be mentioned in the motivation letter: PhD in science or engineering (e.g. geology, materials, chemical…) with experience in thermodynamic modeling. Experience as post-doc, staff member
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, Mechanical, Civil or Electrical Engineering, Materials Science or Applied Physics Experience with the fabrication of batteries Experience with electrochemical testing and a desire to learn about mechanical
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characteristics. Applications from women are encouraged. The Internal Research Fellow will be based in the Materials and Chemistry Section, Technical Reliability and Quality Division, Product Assurance and Safety
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the Zernike Institute for Advanced Materials in the Faculty of Mathematics and Natural Sciences of the University of Groningen. The group's main research interests lie in the use of novel semiconducting
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, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative