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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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. The engineered immune cells are studied using both in vitro and in vivo models and characterized using advanced analytical methods, including multiparameter flow cytometry and high-resolution sequencing
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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and modelling, materials synthesis, characterization, and property testing, with a particular focus on materials for sustainable technologies. The division provides a stimulating interdisciplinary
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whole-genome duplication across diverse plant systems (see https://www.yantlab.net/ ). The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations
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mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based
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skills in experimental design, laboratory and field research on animals, statistical modelling and programming, evidence synthesis, climate modelling, open and reproducible research, scientific writing