12 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Emory University
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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: The qualified candidate should hold a PhD in Medicinal Chemistry, Radiochemistry, Neuroscience, Pharmacology, or related fields. Hands-on experience with CNS models (e.g., neurodegenerative or psychiatric models
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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, using molecular/cell biology, immunology, and animal models. A candidate will work with a collaborative interdisciplinary team and an enthusiastic mentor. Highly motivated individuals holding a Ph.D
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models when they are needed. He/she is required to prepare routine reports for the studies, manuscripts for publications, and present the results in scientific meetings. JOB DESCRIPTION: Helps design and
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infection and explore strategies to enhance mucosal immunity. Using a combination of in vivo animal models and ex vivo 3D cellular systems, we study airway-specific immune mechanisms that influence
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATION: PhD. NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from
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equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Applicants must have or will obtain a PhD in one of these disciplines: molecular biology, cancer biology, cell biology, genetics
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and Skills 1. A PhD, ScD, PharmD, MD, or equivalent degree, with experience in clinical research, epidemiology, pharmacology, or related fields 2. Strong background in epidemiological/statistical