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Do you want to contribute to top quality medical research? Join our pioneering AI designed cyclic peptide engine project at Karolinska Institutet and SciLifeLab, where we are revolutionizing drug
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to perform and critically evaluate such analyses to an internationally high standard. Experience of support and teaching within bioinformatics Postdoctoral experience Strong skills in experimental design and
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Associate Professor Stefania Giacomello. Examples of postdoctoral activities: Lead and develop independent research projects in line with the group’s focus Design, conduct and interpret computational analyses
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
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infrastructure for research and innovation by providing support, collaborative projects and resources for data and digital methods in research. The activities of Chalmers E-Commons are based on a data-centric
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planning and technical design to implementation and maintenance. Contribute to the technical architecture of SciLifeLab’s infrastructure. Engage in requirements engineering and define technical standards
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innovation in the life sciences. This creates an exciting platform with state-of-the-art infrastructure to conduct high-quality research, foster collaborations with other Swedish and international universities
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the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the
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infectious biology to broader societal threats requiring molecular profiling (environmental dimensions, One Health approach). Establishing a SciLifeLab laboratory preparedness plan (including SciLifeLab