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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number of Hours
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(approximately 50%) to contribute to other aspects of the lab’s research. These aspects include investigating the molecular mechanisms of membrane proteins using an integrative approach combining biochemistry
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Postdoctoral or research scientist positions in Parkinson's disease, Alzheimer's disease, and Stroke
sequencing, and microscopy are preferred. Stem cell biology: Candidates with experience in the culture, differentiation, and analysis of ES and/or iPS cells. Expertise in biochemistry, ubiquitination, or poly
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studies examining protein production and gene expression Perform flow cytometry and immunofluorescence microscopy studies Present results at lab meetings and at research conferences Write, edit and
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, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental mechanisms that control RNA
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binding proteins and RNA metabolism in neurodegenerative diseases ALS/FTD. The research involves iPSC models, biochemical and cellular approaches, and NextGen sequencing techniques. Visa sponsorship is not
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factors in human and tick cells, and will be tasked to identify and characterize functions of bacterial proteins and cognitive host cell molecules and signaling pathways. In addition, the researcher will
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, alternative protein, biomanufacturing and other emerging topics that shape the future of biotechnology and circular bioeconomy. The relevant research techniques include aseptic cell cultivation, bioreactor
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collaborative research spans pharmaceutical engineering, materials chemistry, EV biology, immunology, protein and genetic engineering, and data science. The current focuses of our group include biohybrid lipid