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by two NIDA-funded grants. The first project, NEURONIC, utilizes a nasal spray paradigm to assess reactions to nicotine in a controlled, laboratory setting as a model of risk for addiction
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keratinocyte differentiation and cancer biology utilizing cultured cells and animal models of skin diseases. Responsibilities include: Development of new and implementation and modification of existing
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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on innovative projects exploring receptor-specific contributions to behavior and circuit function. Work Performed • Conduct stereotaxic surgeries and pharmacological manipulations in mouse models. • Perform
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models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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and health, either with a background in population health analyses or laboratory research experience in molecular toxicology assays based on the zebrafish model. PROJECTED START DATE: The position is
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research. Interests and/or background in Arctic research, hydrological modeling, surface water fieldwork, community engagement, and/or spatial statistics are also a plus. PROJECTED START DATE There is
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of the intestines induced by radiation, with a focus on mechanisms of regenerative reprogramming. Complementary approaches will be used, including genetically engineered mouse models, histopathology, mouse and human