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submit the following as a single PDF through the University of Michigan job portal: 1. Cover letter describing qualifications, research interests, and fit 2. A CV 3. A research statement (up to 3
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structure prediction. Working at the intersection of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow
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of generative AI and biophysics, the Fellow will focus on expanding the current framework to model dynamic protein ensembles. As an Empire AI-funded fellow, you will have access to the Empire AI Alpha and Beta
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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computational seismology, specifically AI-driven full-waveform inversion using diffusion-model approaches. Responsibilities Perform research in AI-driven waveform inversion using diffusion models. Investigating
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to in vitro modeling and spatial multi-omics to address this complexity, and find ways to reprogram the microenvironment for better responses to new immunotherapies. The lab's primary focus is
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be embedded within Moderna's Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages
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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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vivo approaches include patient derived xenograft mouse models, xenograft models, humanized mouse models and subcutaneous mouse models. Perform experimental design, quantitative analysis, literature
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on biofilm microbial composition, physiology and structure, and on relations between therapies and the dental biofilm are key elements of the ongoing research projects. Study models span from in vitro biofilm