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to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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applications. Documenting experiments and method development for project tracking and publications; being updated with current with relevant technologies and scientific literature; and participating in
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system developers in a rapidly growing, dynamic and progressive team with a leading role in Swedish data-driven life science. This position is placed at Chalmers E-Commons, the Chalmers digital research
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including researchers in archaeology, anthropology, genetics, evolution, biodiversity and more, as well as to e.g. museum staff and contract archaeologists. The interest for the unit’s services is large and
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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total
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, 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
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Biodiversity Subject description The subject concerns biodiversity in a wide sense; variation and evolution within species, between species and among communities across space and time. It includes the study of
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral