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lab (marklundlab.com ), we investigate how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. We combine high-throughput measurements of molecular
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About the opportunity: 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
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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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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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to work both independently and in collaborative, interdisciplinary environments. Creativity, initiative, and a structured approach to complex data analysis are essential. Motivation and Fit: A well
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. •Contribution to instrument maintenance, troubleshooting, SOPs and quality documentation. •General laboratory activities required for reliable and efficient operation of the infrastructure. •Close collaboration
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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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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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possess excellent collaboration skills and a goal- and result-oriented focus. You have strong problem-solving and analytical abilities, along with an independent, structured, and meticulous work approach