Sort by
Refine Your Search
-
universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology
-
. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon
-
mutations in ageing by measuring somatic mutation rates in honeybee castes and experimental evolution lines of seed beetles. Quantifying somatic mutations on a genome scale with high fidelity is
-
acquisition and data analysis infrastructure. Duties We are looking for a researcher with strong interest in developing, implementing and adjusting image analysis tools for quantitative analysis of microscopy
-
. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
-
on the applicant’s research profile. The assistant professor will contribute to the development of the Planetary Biology program at SciLifeLab at Campus Solna, with support from the department where he/she will be
-
Job description The Drug Discovery & Development platform at the Science for Life Laboratory (SciLifeLab DDD) is a national infrastructure for academic drug development with the task of translating
-
program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
-
, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep