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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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immunotherapies. The successful candidate will play a pivotal role in modeling the complex tumor microenvironment and its dynamic interactions with therapeutic immune cells. While expertise in in vitro
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models to examine flow, turbulence, sediment transport, and/or biological agents that occur on hillslopes, in concentrated flows, and within and near rivers. The postdoctoral associate will employ state
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. Specifically, the project will: Address a fundamental knowledge gap about how chromatin 3D organization determines transcription at a global scale in an explicitly defined neuronal development model. Integrate
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, epithelial cell culture, and animal models of airway disease to probe in vivo bacterial activity and their interactions with the host epithelium. The ideal candidates will have a PhD in microbiology
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models. Priority will be given to individuals with research experience with survival stereotaxic surgeries as well as jugular vein catheterization in rodents. Duties will include: Monitor of neurochemicals
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using Pioneer-seq and genomics assays (e.g., ChIP-seq, ChIP-exo, MNase-seq, HiC, RNA-seq) Analyze high-throughput sequencing data and contribute to computational modeling of TF binding Outstanding
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. Candidates with expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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Qualifications Expertise in mammalian cell culture, bioinformatics, lipidomics, molecular biology. Experience in state-of-the-art in vitro models preferred. Physical Demands Salary Range $63,000 - $68,000
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Position Summary As a Postdoctoral Associate in the Department of Earth Sciences , this position will support an investigation entitled “Earth System Modeling of Regional Sea Level Rise and Risk”. The