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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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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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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
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of funding. The start date is flexible and may be arranged by mutual agreement. The position is intended for a researcher interested in developing new theoretical and computational approaches to the strong
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epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
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: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: [email protected] Website: https
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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 job duties include