-
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
-
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
-
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
-
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
-
, 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
-
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
-
About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
-
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
-
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