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positions in stem cell biology, organoid model systems, and inner ear regeneration. The two laboratories, led by Dr. Konstantina Stankovic, Chair of the Department of Otolaryngology–Head & Neck Surgery (OHNS
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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learning and genomics. Specifically, the candidate will work on developing and applying cutting edge deep learning frameworks for modeling massive single cell and bulk multi-omic datasets. Duties include
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: Doctoral degree conferred prior to start date Research experience in molecular biology, cell biology, biochemistry, iPSC models, mouse genetics Record of research productivity and publication Integrity
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a unique opportunity to work in a cutting-edge, interdisciplinary environment, leveraging a novel in-vitro model of the human uterus and/or cutting edges machine learning techniques to make
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most of our physiological responses to hormones, neurotransmitters and environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics
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, and disease modeling to understand photoreceptor degeneration and identify novel therapeutic strategies. This position offers opportunities to work at the interface of ophthalmology, bioinformatics, and
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are interested in working as part of collaborative projects and interacting with national and international consortia. Familiarity with human beta-cell models is highly desired but not essential if they have
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Qualifications: Recently completed PhD or other doctoral degree in a discipline related to indoor air quality. Training in epidemiology, exposure modeling, and/or environmental health and toxicology preferred
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technologies, spatial omics data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work