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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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. Collectively, the team holds expertise in the clinical management and treatment of IAs, biology of the IA wall, patient-specific CFD modeling, and biomechanics of IA walls. The faculty member will contribute
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Classification Title: Post Doc Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models
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core facilities. These shared resources enable high-resolution, high-throughput analysis of tissue samples from both mouse models and human cohorts. Our lab culture is centered on intellectual curiosity
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postdoctoral fellow interested in gaining training and experience in disease modelling and transnational science. The successful candidate will lead collaborative efforts among basic and clinical researchers and
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capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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experience working with transgenic mouse models, as well as familiarity with cell culture and standard molecular biology techniques such as immunostaining, Western blotting, and qPCR. Additional exposure
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assists with research work tasks of low-complexity in support of a research project under close supervision. May assist with ordering equipment and supplies, set up of equipment, performing experiments
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: Medicine | Radiation Oncology The Researcher will design and manage complex scientific investigations in the laboratory of Deliang Guo, Ph.D., Director of the Center of Cancer Metabolism within