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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are particularly interested in
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molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next
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areas such as energy technology, laser spectroscopy, medical technology, and electronics and systems engineering. The Department is now seeking a postdoctoral researcher to develop fabrication process for
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genetically manipulated using CRISPR technology, in vitro. They will analyze cells and tumors through imaging, next generation DNA sequencing, single cell RNA sequencing, and other molecular techniques
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academic courses and obtained grades. Contact information for three reference persons. Documentation and description of other relevant experiences or competences, including software projects. The application