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works with the rapidly growing area of developing conditions and techniques to protect future AI-based systems. The center is led by Linköping University with Lund University as a partner. Work duties
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, graph theory and more to characterize biomolecular systems. The project is predominantly an applied project focusing on protein characterization; however, there is a possibility for method development
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. This project aims to enable new spatiotemporal frontiers while reducing the dose using state-of-the-art X-ray sources. In particular, the candidate will work on the development of novel deep-learning
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development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction conditions. Research is carried out in close
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age
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central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory and algorithm development as well as engineering methods that enable robust and
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
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Workplace Description The research group is led by Professor Johan Malmström, whose goal is to develop methods in structural mass spectrometry and protein design for the development of enzymes with
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on the ecology and evolution of generalized pollination systems. The project assistants will assist with field studies of plants and pollinators in southern Sweden, preparation for such work, and processing
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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