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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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involving cell culture and animal models, including standard molecular and cellular techniques such as Western blotting, immunofluorescence staining, and microscopy. Experience with DNA and RNA extraction
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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integrating data from primary patient samples and experimental models, you will predict evolutionary trajectories and identify novel targets for precision medicine, aiming to enhance treatment responses and
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in vivo models. Infrastructure and expertise in various so-called omics technologies, single-cell biology, bioinformatics, drug development, and more are available locally through the SciLifeLab
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lab and instruments clean and organized, as a postdoctoral researcher in the group you need to be able to be a role model in that sense. You must be very organized and systematic in your work. As an
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the Department of Proteomics. The group of Paul Hudson does research on bacteria that fix carbon dioxide, such as cyanobacteria. Cyanobacteria in particular are also models for carbon fixation in plant
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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. For more information, see www.iob.uu.se . The Physiology and Environmental Toxicology program is a growing, vibrant research environment where experimental models and molecular tools are used to study and
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge