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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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: 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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at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures of correlated and
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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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program is focused on disease mechanisms and drug discovery on alcohol- and metabolic dysfunction-associated liver diseases and cancers using both cell systems and animal models. IU School of Medicine is
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, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh-DeWitt detector model
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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
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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: asmaa.elkenawi@cancerimmunometabolism.com Website: https
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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