Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
-
future. 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 cellular
-
Uppsala, Referensnummer SLU.ua.2026.2.5.1-1126 Department of Plant Biology The Department of Plant Biology offers a stimulating international environment in the Uppsala BioCenter. In our department
-
The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
-
. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
-
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 cellular processes
-
. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
-
(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
-
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
-
. Requirements University degree in bioinformatics, computer science, IT, or a related field. At least three years of documented work experience in bioinformatics-related systems development. Excellent knowledge