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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data
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method for understanding complex genomic alterations. While sequencing technologies have made a leap forward, work is still needed on the computational side to fully use the technology. This is an
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such as lipid nanoparticles (LNPs), extracellular vesicles and cell membrane mimics. We use a variety of single particle techniques as well as small angle scattering experiments to identify lipid self
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. This project asks: how do genetic, environmental, and lifestyle factors interact across different ancestry groups to influence CMD risk, and can ancestry-specific insights inform more precise prediction
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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technologies. We use innovative technologies that combine CRISPR perturbations with spatial transcriptomics—enabling precise tracking of how gene changes influence the tumor’s invasion routes through brain
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and administrative work, may also be included in the employment. In this case the position will be extended to allow four years of full-time graduate studies. Requirements Entry requirements
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students, and administrative work may be included up to a maximum of 20 percent of the position. The employment will be extended in proportion to the time spent on teaching, to allow for four years of full
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Do you want to contribute to top quality medical research? To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following