20 phd-scholarship-in-computational-material-science Postdoctoral positions at Chalmers University of Technology
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-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations. This unique position combines advanced finite element
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Join a research team developing state-of-the-art open-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations
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of postdoc, you must hold a doctoral degree in chemical engineering, materials engineering, thermal engineering or mechanics, awarded no more than three years prior to the application deadline. The position
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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computer. The WACQT team at Chalmers currently has about 100 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students). WACQT is committed to promoting
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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23 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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We are looking for a postdoc to join our team at the Division of Engineering Materials at Chalmers University of Technology . The research will focus on the use of magnetic fields to control
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration