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experienced researchers and have access to high-performance computing, university servers, as well as a rich national network of neuroscience expertise through SciLifeLab and the DDLS Research School. We
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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will be affiliated with the national DDLS program, through which you will have access to computing resources, the national DDLS research school, and other training and networking opportunities throughout
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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for the PLP Strategic Area. Key responsibilities may include: Contributing to the overall scientific direction and strategic development of the PLP program, including developing a long-term vision from
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. The research environment is highly collaborative and interdisciplinary, with close links to national and international networks and consortia. The Data-Driven Life Science Research School Data-driven life
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broad national network of future academic leaders within SciLifeLab and Wallenberg’s national program for data-driven life science (DDLS fellows) and the fellow programs at the Wallenberg Centers
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omics. To achieve this, the doctoral student will use and develop both computational and laboratory-based tools. The doctoral student will need a background that includes experience with both some