11 phd-position-in-material Postdoctoral research jobs at Chalmers University of Technology
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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journals Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Collaborate within academia and with society at large The position is
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levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious
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-14173 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join our team at the Microwave Electronics Lab , Department
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-14184 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join a project on carbon capture and utilization (CCU) at Chalmers. In
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scientific research publications. Your profile Required qualifications PhD in Chemistry, Chemical Engineering, Physics, Catalysis, Materials Science or equivalent (awarded no more than three years prior
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beyond traditional models and bring research closer to real-world clinical applications. About the research project We are offering a 2 year postdoctoral position to an ambitious researcher who is
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Functional Materials, 2024, 34, 2406875). This project will further develop this technique with a focus on aerospace applications such as lightning protection, de-icing, and sensing. This position is part of
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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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