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scales remains a challenge. This PhD topic falls within the area of computational materials science and focuses on the development of a multiscale modeling framework that combines atomistic simulations
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tasks within given time frames. In addition, based on a comparison of the scientific outputs, an assessment is made of the applicant's scientific development. Scientific output is assessed in terms of
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both academia and industry. In addition to a competitive salary and wellness benefits, the candidate is offered strong support for academic development, including funding for books, conference travel
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immediately before the application deadline of 15 October 2026 (Marie Sklodowska-Curie mobility rule). Merits are: experience from protein production and purification, and/or Python code development, and
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international collaboration network. The group's overall goal is to contribute to the development of sustainable urban water systems. More information on www.ltu.se/water Subject description Urban Water
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genetic elements – so-called 'genomic dark matter' – in human brain development and disease. The group consists of 8 research-active members and is led by Dr Christopher Douse. We are fascinated by how
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with data scientists within the Swedish e-Science Research Centre, and contribute to development of methods with applicability also beyond climate science. The successful candidate will thereby
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both academia and industry. In addition to a competitive salary and wellness benefits, the candidate is offered strong support for academic development, including funding for books, conference travel
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variables; processing and statistically analysing experimental data; contributing to the development and application of appropriate methods for assessing forage crops and plant mixtures; working with
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involve the use of established methods such as density functional theory and molecular dynamics, as well as the development of machine-learning potentials and Hamiltonians for fast ion transport and