Sort by
Refine Your Search
-
epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
-
). It has previously been shown that using the perturbation design greatly boosts the quality of GRN inference on bulk data. The aim is to leverage this principle and develop new technology to unleash
-
-driven life science framework. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
-
of life science is data-driven. Will you be part of that change? Then join us in this unique program! At KTH, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology
-
ISS technology to researchers across Sweden. In situ sequencing (ISS) enables highly multiplexed RNA profiling directly within cells and whole tissue sections, preserving spatial information
-
of studies related to cell and molecular biology. The projects will typically use omics data to determine how individual components of a biological system work together to produce a particular
-
broad national network of future academic leaders within SciLifeLab and Wallenberg’s national program for data-driven life science (DDLS fellows) and the fellow programs at the Wallenberg Centers
-
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) invites applications for 22 postdoctoral fellowships starting in autumn 2026. This call marks the launch of a new
-
provides a strong foundation in computational biology, scientific programming, quantitative modeling, and data-driven life science—competences that are increasingly central in biotechnology, pharmaceutical
-
life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all