51 data-"https:" "https:" "https:" "https:" "https:" "https:" "Aix Marseille Université" positions at SciLifeLab
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
Facilities, Sahlgrenska Akademin in Gothenburg, Sweden. Selection process For more information regarding the selection process go to: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande#S%C3%A5
-
information: https://www.uu.se/en/department/pharmacy/infrastructure/udopp The Department of Pharmacy at Uppsala University offers an interdisciplinary environment at the forefront of pharmaceutical sciences
-
Bioinformatician/Data scientist for the Clinical Genomics Platform We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute
-
infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
-
of Linköping University’s departments. Your profile determines which department will be relevant. Information about our relevant strong research environments can be found at https://liu.se/en/research/wcmm/ddls
-
own assignments with minimal supervision. Research environment The Dwibedi lab is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se
-
spectroscopy. The scholarship is two years full time with access 15 April, 2026 or by agreement. The deadline for applications is 20 February, 2026. Departmental specific information The scholarship is placed
-
Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful
-
with nano-LCs. Performing data analysis and interpretation using established proteomics software and tools, such as Proteome Discoverer, Spectronaut, Skyline, Byonic, Perseus and R-based Shiny