Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with and develop custom made techniques coupled to high resolving mass spectrometry for molecular characterization of biological samples, using tandem mass spectrometry and reactive chemistry
-
, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
-
project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
-
education at the department occurs in an international environment and is focused on animal biology. Outstanding and high impact research is conducted in a variety of fields, including evolutionary biology
-
written. We place great emphasis on personal suitability. Additional qualifications It is considered advantageous if the candidate has documented experience in: Working with high-performance computing (HPC
-
research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient
-
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
-
will be highly team-oriented, both through internal and external collaborations, which necessitates excellent collaboration and communication skills. The main work duties are: Performing state-of-the-art
-
(iPanCare ) Lab. We are a part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS ). iPanCare lab conducts research in the field of precision diagnostics and medicine
-
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