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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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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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Studies (CMES) coordinates the Strategic Research Area (SRA) “The Middle East in the Contemporary World” (MECW). The research program consists of four research themes: 1) Environment and sustainable