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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients
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Lawrence Berkeley National Laboratory - Nuclear Science | Berkeley, California | United States | about 6 hours ago
. Characterize radiation detection materials using a variety of methods. Develop mathematical models to support experimental data interpretation and development of the future materials. Function independently and
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of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in
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Medical Director and Associate Resident Clinic Director for the clinic. Apprentice model to get on-the-job training for a future career in educational or administrative clinician leadership. Primary mentor
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simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms Investigate methods to optimize test structure designs for more robust determination of
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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
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machine learning model development; Experience designing research projects and managing project delivery; Experience processing, documenting, and analyzing data sets; Ability to excel in a highly
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and