Sort by
Refine Your Search
-
respond to various environmental factors. This field employs advanced experimental models and cutting-edge methods to understand how cellular and molecular mechanisms shape the physiology and metabolism
-
experiments utilizing single cell RNA-seq, spatial transcriptomics, and highly multiplexed immunostaining. The necessary formal education to conduct animal studies according to EU legislation. Demonstrated
-
than 40 PhD students and postdocs. Research at the DSAI ranges from foundational methods in machine learning (e.g., optimization, bandits and reinforcement learning) to application domains in biophysics
-
The Department of Zoology is one of the departments within the Faculty of Science and has approximately 80 employees including researchers, PhD students, and administrative staff. Research and
-
, and DNA repair. The research group study the biological functions of quadruplex DNA structures in the genome by using a variety of biochemical, biophysical, imaging, and molecular biology methods, and
-
group within a few years of their PhD. We offer generous funding for up to 9 years, conditional upon favorable review after four years. Data-driven epidemiology and biology of infection covers research
-
Project description Third-cycle subject: Biotechnology We are seeking a motivated PhD student to join our lab at KTH/SciLifeLab in Stockholm, focusing on precision medicine and cancer progression
-
diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
-
(Operations Office), with employees both in Solna and in Uppsala. The position is formally located at the Operations Office at KTH with location in Solna. The Operations Office has a coordinating role in
-
at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods