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on optical tweezers, atomic force microscopy and advanced fluorescence microscopy to characterize the biophysical properties of the endothelial glycocalyx with suitable cellular and molecular models
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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. Interested, qualified candidates can submit their cover letter, CV, and supporting documents to: https://unmc.peopleadmin.com/postings/96054 Required Qualifications PhD in cancer biology, molecular/cellular
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candidates working on related topics, including nanoparticle database curation, molecular dynamics-based transport modelling, and reinforcement learning for treatment optimization. Contribute to high-impact
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: Doctoral degree conferred prior to start date Research experience in molecular biology, cell biology, biochemistry, iPSC models, mouse genetics Record of research productivity and publication Integrity
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projects within the Gladstone-UCSF Institute of Genomic Immunology. Our lab studies fundamental T cell immunology using animal models and in vitro assays and develops novel genetic and epigenetic tools and
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-membrane coupling allows for a wider range of operating parameters compared to filtration alone, and therefore increases the degree of selectivity, since steric exclusion (molecular size) is complemented by
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spray-drying and freeze-drying, linking molecular/colloidal interactions in the feed formulation to process-driven microstructure, and ultimately to stability and release kinetics. The work will deliver
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) formerly RCI – is a biomedical research center focusing on translational immunology in the fields