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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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, from 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
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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to work both independently and in collaborative, interdisciplinary environments. Creativity, initiative, and a structured approach to complex data analysis are essential. Motivation and Fit: A well
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bias, including previously detected structural variation on sex chromosomes, and analyze the evolutionary history of these regions within and across species. Overall, this project will provide novel
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individual structures that greatly affect diseased cells. The work is carried out in close collaboration with co-supervisors, and spans a broad set of techniques including DNA nanostructure design and assembly
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and