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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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the development of therapeutic strategies to promote neurological recovery. The successful candidate will use a combination of in vivo and in vitro approaches, including animal models, molecular and
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highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on the discovery and translation of next-generation peptide-based cancer immunotherapies. The laboratory has
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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the development of therapeutic strategies to promote neurological recovery. The successful candidate will use a combination of in vivo and in vitro approaches, including animal models, molecular and
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broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our
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conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core
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new theoretical and computational approaches to the strong interaction. Possible directions include the extraction and interpretation of hadronic observables in few-body and multichannel scattering