18 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" PhD 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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environmental stress. The work is theoretical and computational, combining synthetic and empirical ecological networks. Your work assignments Carry out theoretical research on response diversity, ecological
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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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Nature: Use sound/network data as insight for green transitions Your qualifications The candidate must have: Graduated at Master’s level in ecology, biology, applied mathematics, computational science
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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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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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understand how treatment resistance arises and changes over time in different patients and between cell populations, we study this using advanced single-cell genomics and computational biology. We are
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Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group
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(Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (Excellence center), and LiU's profile area VDF (Visual digital futures). For more information about our work, please visit our webpage: https