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computational colleagues to build, train, and evaluate cutting edge AI models using large proprietary oncology datasets Leverage multimodal high dimensional data to investigate relationship between heterogeneous
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campus. Simon Hall sits between the Biology and Chemistry buildings and is home to our graduate training program in Quantitative and Chemical Biology (https://iuqcb.indiana.edu). Simon Hall houses other
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Generate new research strategies to effectively address the needs of the postdoc project Collaborate with functional and technical experts to facilitate scientific achievement Maintain a high level of
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
Position Overview The postdoctoral (postdoc) researcher (postdoc; 1 year with possibility of 1-year renewal): An additional postdoc is needed for the NIH-funded R01 SkyRoCKeT study to support and perform
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics
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potential, small angle X-ray scattering). Advanced computational and data analysis skills in biological systems. Familiarity with high-throughput experimental techniques and AI/ML applications in research
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
-funded R01 SkyRoCKeT study to support and perform data collection, processing, management, checking, and analysis. The postdoc will also contribute to grants management as needed throughout the project
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variants in immune cells. The postdoc will develop flow cytometry-based molecular and functional assays using in vitro cell models (cell lines, primary cells, and iPSC-derived cells), perform genome-wide
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please