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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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experience using mouse models, primary neuronal cultures, biochemical analysis including immunohistochemistry and western blot and MRI. The candidate should have: (i) experience using in vitro cell cultures
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models and analyze human samples from ongoing clinical trials. Engage in the training and mentoring of graduate students. Participate in lab meetings and contribute to a collaborative research environment
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scenarios or source physics, modeling or processing of instrumental effects and/or exploration of new combined analyses with additional astronomical data. This or similar studies will provide pathways
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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and disease. You apply advanced systems biology approaches, including network modelling and pathway-based analyses, to understand how dietary and environmental exposures affect molecular processes. You
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determinations for the different models, including sample preparation and chromatographic determinations by GC-MS and other techniques Preprocess chromatographic fingerprinting data and to develop and validate
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, cell staining and sorting, RNA sequencing (RNA-seq), RT-PCR, and bioinformatics analysis. The role also involves working with animal models of autoimmune diseases, including arthritis, inflammatory bowel