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Field
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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group at the frontier of autonomous science across two projects. The primary assignment for the first 9 months is A-WILD (AI-driven Workflows for Intelligent Lab Discovery), a DOE Genesis Mission project
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engineered extracellular vesicles as a potential strategy to restore antitumor immunity and prevent malignant progression. The postdoctoral fellow will work within this overall program but may develop
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understand how cells spatially organize to drive solid tumor development, and it brings together three fast-moving fronts: spatial proteomics, lineage tracing technologies, and laboratory automation
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Grade E.89 Posting Detail Information Position Summary The University at Buffalo School of Management’s Center for Supply Chain Analytics seeks a Postdoctoral Associate to join our team and develop a
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Laboratory. The project aims to develop an energy-aware modelling and system identification framework that incorporates computational efficiency into the model development process. Rather than focusing solely
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particularly welcome candidates who enjoy discovery-driven research, are comfortable developing experimental approaches, and are motivated by projects in which the most interesting results may emerge from
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development of measurement, evaluation, and analytic strategies to inform policy and systems transformation – 45% Develop conceptual frameworks, logic models, measurement plans, and analytic strategies, drawing
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling