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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the
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) for life science research projects are important to understand the computational methods. Extensive (3+ years) experience of applying and/or developing advanced digital image analysis methods in the field
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. On the computational side, the project includes calculation of established and novel structural parameters that can be linked to the experimental data. The candidate is expected to be able to interpret and present
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, animals, fungi, bacteria, etc.). The Program for Plant Ecology and Evolution, where this position is located, is home to eight research group focusing on genomics, adaptation and speciation as well
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www.medtech4health.se/aida . AIDA Data Hub, a branch of AIDA, is a national e-infrastructure for research and innovation in data-driven precision health. We provide secure computing and storage resources, data and data
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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of pancreatic cancer. This group is led by Associate Senior Lecturer Dr. Qiaoli Wang, as part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS). Group members will be enrolled
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model organisms, their application in conifers remains limited due to challenges associated with tissue structure, nuclei isolation and sensitivity to inhibitory compounds. This project aims to develop
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advanced technology development to biomedical studies. The main research areas include immuno-oncology, sensitization, and biomarkers. Advanced technologies are utilized within the department, including
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to develop new DNA/RNA nanostructures that can act as targeted nucleic acid therapeutics for cancer. Rather than designing and testing such vehicles one at a time, the project will use a high-throughput