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Field
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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networks and representations is available in the Mnemology Lab, which is co-directed by Dr. Roberto Cabeza (Duke University) and Dr. Simon Davis (Indiana University). The Postdoctoral Associate will work
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infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in
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advanced training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy The emergence of homochirality—particularly the dominance of left-handed (L
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research associate to conduct research at the interface of chromatin biology, cancer epigenetics, and chemical biology. Our team is dedicated to understanding the intricate molecular networks that regulate
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addition to the research opportunities, the postdoc will have access to a wide range of networking connections within the plant biotech industry and start‑up ecosystem in the St. Louis area. Our lab has an established
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints
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development, time and support to develop grant applications and access to an established network within the research field. The possibility to contribute to building a strong research community and a high
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data around dementia home- and community-based services (HCBS). The fellow will play a key role in the Community Care Network for Dementia (CaN-D), generating and analyzing quantitative and qualitative
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S