37 systems-science-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" positions at SciLifeLab in Sweden
Sort by
Refine Your Search
-
Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
-
KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type
-
evaluate them on experimental cryo-EM datasets. Cryo-EM is a rapidly growing field that has transformed structural biology over the past decade. The methods are proven and impactful, yet far from mature
-
, recurring national postdoctoral program aimed at recruiting excellent early-career researchers for long-term careers in Swedish life science. DDLS is a 12-year strategic initiative funded by the Knut and
-
group is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create
-
). It has previously been shown that using the perturbation design greatly boosts the quality of GRN inference on bulk data. The aim is to leverage this principle and develop new technology to unleash
-
recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
-
technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
-
of studies related to cell and molecular biology. The projects will typically use omics data to determine how individual components of a biological system work together to produce a particular
-
life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all