61 computational-modelling-optical-properties Fellowship positions at Indiana University
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questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational pipelines
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new synthetic routes for unique nanocrystal compositions to in-depth characterization of electronic, optical, magnetic, and thermal properties of nanomaterials. The Harvey Lab is seeking a postdoctoral
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Indianapolis Position Summary The Hato and Dagher Laboratories at Indiana University School of Medicine are seeking a motivated postdoctoral fellow to join our interdisciplinary research program at
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process can be directed to Prof. Chen-Ting Liao (Liao3[at]IU.edu) Basic Qualifications: • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering, or a related field at the
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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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-doctoral candidate will be involved in both in vitro and in vivo research using animal models, primary, and immortalized cell culture models, molecular and cellular techniques, immunofluorescence, and
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for science and a strong understanding of immunology. Proficiency in multicolor / spectral flow cytometry is required. Experience with mouse handling and infection models is preferred, but not required
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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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Engineering Location Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in
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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and