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vitro microbial fermentation studies. Experience with research projects evaluating the impact of food commodities on human nutrition and health through in vitro, animal models or in vivo approaches
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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collaborative research environment Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with device nanofabrication Experience in
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as
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expression, clustering, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while
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methods in rice processing, focusing on modeling, simulations, and optimizing post-harvest operations, including drying, storage, and milling. Research will emphasize energy efficiency, sustainability
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leukemia using primary human samples, cell lines, and mouse models. Responsibilities will be to design, perform, and analyze data from genomic assays including long read sequencing using the Oxford Nanopore
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, cellular, biochemical, and in vivo approaches. Perform cancer biology studies using cell lines, patient-derived models, and mouse models. Analyze and integrate molecular imaging, spatial transcriptomics, and
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induced pluripotent stem cells (iPSCs), organoids, animal models, or other disease modeling systems. Evidence of peer-reviewed publications and scientific presentations. Interest in developing expertise
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include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic