Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading
-
ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading
-
Do you want to contribute to top quality medical research? Come join the Engblom lab! We are seeking a skilled bioinformatician or computational biologist for projects in the intersection
-
in technology driven life sciences. Lehtiö group is a translational group of scientists with a drive to improve human proteome analysis by developing new methods that can be applied to improve
-
& Wallenberg National Program for Data-Driven Life Science (DDLS), a 12-year initiative aimed at recruiting and training the next generation of data-driven life scientists and to create globally leading
-
Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled
-
Program for Data- Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
-
scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.7 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice
-
sequencing, and with computer scientists at KTH in Stockholm, focused on developing scalable probabilistic machine learning techniques for online phylogenomic analysis and placement of DNA barcodes. You will
-
to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to