Sort by
Refine Your Search
-
General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
-
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 to human health
-
developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
-
life science methods, access to state-of-the-art research infrastructure and recruitment of postdocs and doctoral students. All SciLifeLab Fellows are by default also SciLifeLab Group Leaders. (More
-
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
-
phase where we are developing our working methods together. As an employee within Support services, you will contribute to KTH’s mission to research, educate and create societal benefits, and at the same
-
expansion and is investing in the development of advanced methods for the integrated analysis of biological systems. The platform is now recruiting three bioinformaticians, where one position is at KTH within
-
eminent junior group leaders as DDLS Fellows, launch over 210 postdoctoral positions and establish a research school for 260 PhDs, within both academia and industry. The program is coordinated by SciLifeLab
-
pharmacological research, the Department of Medical Cell Biology is now seeking a professor in pharmacology with a preclinical focus. The department has access to a wide range of methods, including advanced