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how developmental dynamics can both open up and restrict evolutionary possibilities, and how this knowledge can help us better understand, predict, and even influence evolutionary change. We approach
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unique spatial organization and dynamic properties. We study the filamentous bacterium family of Streptomyces, the in vitro assembly of cytoskeleton proteins and the cellular localization polarisome and
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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focuses on the development of novel fluorinated amino acids as a 19F-NMR probe to study protein dynamics and protein-ligand interaction to facilitate drug discovery. It is financed by SciLifeLab, and hence
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational