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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. The research group Digital Physics (www.digitalphysics.se) develops methods
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mechanistic modelling, the project seeks to advance fundamental understanding of how complex environmental perturbations influence infectious disease emergence, spread, and persistence across coupled human
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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· Perform computational analyses to investigate gut microbiota composition The selected candidate will use a combination of animal and in vitro studies to reach these aims. Work tasks also include designing