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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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at the Department of Cell and Molecular Biology. The Elf group works across traditional disciplinary boundaries to explore life at the molecular level. We build physical models of key biological processes and develop
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, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
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degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track record of scientific publications and
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modeling Experience in plastic degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track record
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acquisition methods for non-model invertebrates bioinformatic analysis pipelines (including programming experience) for the assembly of single cell transcript atlases genomic assembly approaches molecular
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Description Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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their EVs stimulate or regulate immune responses. They will also investigate if EVs can be used for cancer immunotherapy. The studies will be performed in model systems in vitro and in vivo. The studies will
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
experience in molecular genetic approaches, fluorescence microscopy, mammalian cell culture, and intracellular infection models. Candidates should be passionate about scientific discovery, motivated to tackle