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research with clinical potential. Our lab is in the intersection of biology, chemistry, physics and engineering, aiming to reveal the molecular codes of cellular physiology and diseases. The candidate will
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pathogens, characterize them in their molecular context using interaction proteomics (affinity purification, proximity labelling, co-fractionation mass spectrometry, etc) and engineer ‘super-phages
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. The research will mainly focus on the development of innovative strategies for protein delivery using engineered EVs as cargo vehicles. Your task will be to integrate our current knowledge of EV technology and
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discover new disease biomarkers to be exploited therapeutically. Scientists and engineers in our group work closely together using a variety of technologies to generate novel knowledge about the biology of
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delivery technologies that can carry proteins, RNAs or gene therapies to the target tissues safely and efficiently. In this connection, we engineer exosomes with enhanced delivery and targeting capacities
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and a top research infrastructure both locally, at the department level and institution level. The doctoral student project and the duties of the doctoral student Current technologies for long term data
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Medical Research will provide the financial support. Duties The postdoctoral fellow will work on generating genetically engineered iPSC lines (CRISPR/Cas technologies) and apply these lines to brain
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. The goal of this project is to advance our current understanding of brain degeneration and disease progression in DLB by using state-of-the-art and advanced neuroimaging methods. The postdoctoral fellow will
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, we offer a unique translational research environment with wide-ranging expertise spanning clinical science, biomedical engineering, and medical physics, all working together to improve cardiovascular
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at the Department of Medicine, Solna. Our lab offers a creative, collaborative, and supportive research environment, with access to cutting-edge technology, modern infrastructure and daily seminars and lectures by