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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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nanomaterials as imaging probes or diagnostic agents or drug delivery system and perform experiments to test the properties and performance of the prepared materials in cells, biospecimen samples and animal
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human cancer based on their cancer driver gene mutations. A new project in the lab is aimed at understanding the mechanism of natural killer mediated anti-tumor effects in LKB1-mutant lung adenocarcinoma
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the following: Under minimal supervision, quantify nucleosides and intracellular nucleotides as well as other antiviral agents using existing Liquid Chromatography Mass Spectrometry (LC-MS/MS) methodology
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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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: 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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the EAC Transition Services program (i.e., Quest) and School Based Consultation and Training (i.e., Monarch); likewise, there will be potential collaborations and opportunities with other programs 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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therapy resistance and identifying potential therapeutic targets to overcome resistance. The lab will integrate a variety of research approaches, including clinical genomics, CRISPR-based functional
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but must be able to commute to Emory University on a flexible weekly schedule based upon business needs. Schedule is based on agreed upon guidelines of department. This role requires residency in