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a member of an inclusive, interdisciplinary research team. The ideal candidate will have experience with flow cytometry, scRNA-seq, and/or animal models. The hiring unit will not sponsor employment
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Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time
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/aptitude to contribute to proposal writing, write reports, and publish journal papers and patents. A successful candidate must model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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with X-ray absorption spectroscopy theory, modelling, and interpretation, including XANES/EXAFS. Hands-on experience with XAS simulation packages such as FEFF, OCEAN, FDMNES, XSpectra, or exciting
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, or interoception. Adipose tissue biology, thermogenesis, metabolic physiology, glucose and lipid metabolism, obesity and diabetes models, or mouse metabolic phenotyping. Single-cell genomics, spatial transcriptomics
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. • Experience preparing research publications, technical reports, or project documentation. • Programming, modeling, simulation, system development, or data analysis • experience using tools such as Python
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offers a variety of opportunities to develop mathematical theory and computational methods and collaborate with translational scientists and clinicians to apply mathematical modeling to accelerate
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pathological contexts. By integrating mechanistic chromatin biology with disease-focused models of brain cancer, we seek to identify new biomarkers and targeted therapeutic strategies. Key Responsibilities
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model