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following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control
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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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courses at the department each year. You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB
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Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one of the world’s largest research environments in computational science, with large activities in
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for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026, or as agreed upon. The Department of Computing Science at Umeå University is an
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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duties corresponding to up to 20 % of full-time employment, distributed throughout your study period, and result in a corresponding extension of the studies. Departmental duties usually consist of
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scientific computing and experience with time-stepping methods and the finite element method (FEM), preferably applied to fluid dynamics, solid mechanics, or other moving-boundary problems. Prior
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experience with R and/or Python language, bash shell environment, high performance computing, next-generation sequencing data analysis, and single-cell analysis workflows 2 – Communication and team work
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scientific computing for experimental data analysis Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial step in a career, and