SciLifeLab at KI
Science for Life Laboratory (SciLifeLab) is an academic collaboration between multiple Swedish universities and distributed national research infrastructure with a distinct focus on health and environmental research. At the core mission of SciLifeLab is to provide technologies facilitating the large-scale analysis of biological processes at the molecular level. SciLifeLab Campus Solna, founded in 2010 as a joint effort by KI, KTH and SU, is the largest SciLifeLab site for cooperation.
![SciLifeLab landing page 2](/sites/kise/files/styles/fullsize_colour_no_crop/public/qbank/SciLifeLab%20landing%20page-custom20221109150638.jpg.webp?itok=VotSWs0I)
KI-SciLifeLab Symposium 2024
Welcome to the third annual KI SciLifeLab symposium which will include talks from internal and external speakers and great opportunities to mingle!
Mini-symposium: AI in Medicine
Learn about the latest AI developments in Medicine, presented by Swedish and international guest researchers.
SciLifeLab research seminar & Open House
Take the opportunity participate in a research seminar and then to tour and learn more about the SciLifeLab infrastructures at Campus Solna.
![Research equipment](/sites/kise/files/styles/article_full_width/public/qbank/GettyImages-911834392-custom20220131142332.jpg?itok=Gg4seEFj)
Research & Facilities
SciLifeLab was founded in 2010 as the strategic research area for Molecular Life Sciences.
Today many KI research groups contribute to research and technology development and implementation.
![Rekrytering](/sites/kise/files/styles/article_full_width/public/qbank/GettyImages-1280506989-custom20220131142615.jpg?itok=zoiZXXrn)
Funding calls & Recruitment
KI offers grants and positions in collaboration with SciLifeLab with excellent conditions, funding and access to advanced infrastructure.
![Data science](/sites/kise/files/styles/article_full_width/public/qbank/GettyImages-1286369914-custom20220131142824.jpg?itok=IojWZoU8)
DDLS - Data-Driven Life Science
The purpose of the SciLifeLab & Wallenberg National Program is to train the next generation of life scientists in order to create a strong computational and data science base, and to strengthen the competencies in today’s research society.