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. Knowledge and experience in modelling techniques in Mesoscale and Multiphysics finite element modelling Good communicative skills, teamwork competence and collaborative abilities, as well as capability
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state
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process involve developing models for the components of both axial and radial turbomachines. A strong background in aerodynamic methods and tools of turbomachinery design is therefore required, which in
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with model crops, but also agriculturally relevant plant species including cereals, rapeseed, sunflower Experience with assessing plant productiviy Knowledge of applied plant biology and/or breeding
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. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models