55 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Linköping University
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Join us in developing next-generation, machine-learning accelerated computational models to understand and predict coupled ionic and electronic transport in organic materials for sustainable energy
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operating conditions, is difficult to access experimentally and lies beyond the reach of standard simulation methods. This PhD topic falls within the area of computational materials science and will
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. Your workplace Your workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network
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workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu
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Electronic and Photonic Materials division in the Department of Physics, Chemistry, and Biology (IFM). The successful applicant will work in collaboration with the Swedish company Epishine AB on a
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leave, may be taken into consideration. We are looking for candidates who hold a PhD in: Chemistry, Physics, Materials Science or another field that is considered relevant to the project. Documented
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beneficial. Fluent English spoken and written is required. Your workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https
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within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the
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Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) for future flexible hydropower operation. Your work assignments As a PhD student, you will conduct research at the intersection of
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10 Sep 2026 Job Information Organisation/Company Linköping University Research Field Physics » Applied physics Researcher Profile First Stage Researcher (R1) Application Deadline 30 Oct 2026 - 12:00