34 Materials Science Postdoctoral positions at Delft University of Technology in Netherlands
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of ML in engineering is still in its infancy. Many areas of engineering that could leverage on ML include (meta)material characterization and design, computational structural design, and symbolic
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consortium is a partnership between TU Delft, Erasmus MC, Eindhoven University of Technology, AMOLF, UTwente, Saxion, and several business partners. Together, we aim to conduct the necessary fundamental
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on novel interconnect technology to enable reliable ultra high-troughput assembly of microcomponents. We look for a post-doctoral researcher that will investigate the scaling behavior of interconnects
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instrument scientist position within three years. You hold a PhD in a subject related to physical science, life science, materials science, engineering or another relevant field. You have experience in
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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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, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st
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of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy
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University of Technology is hiring a postdoc on the subject of "digital twins for energy valleys". In order to reduce the carbon footprint of our society, the energy systems must develop on the local scale
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Delft as well as in collaboration with the project partners. As candidate, you have a PhD degree in electrical engineering, materials engineering, micro/nanoengineering, physics or related fields. We
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Recent developments in sensing and communication technology offer unprecedented opportunities by ubiquitously collecting data at high detail and at large scale. Utilization of data at these scales