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fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with
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, evo-devo, neurophysiology, and behavior projects ongoing. Work will primarily be related to the genetics and physiology of opsin-expressing sensory cells in the lab’s model system, Nematostella
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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manuscripts, and present findings at scientific meetings Mentor and train students in laboratory techniques and research methodology Expected Salary: Based on NIH guidelines and applicants experience. Required
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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for potential careers in both academic and non-academic settings. Training in responsible research practices. The postdoc will be expected in their first year to complete a series of web-based training modules
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protostellar evolution models to radiative transfer grids. The goal is to synthesize these protostar models into protocluster models and compare them to JWST and ALMA data. The applicant must have a Ph.D. in
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ideally August 18, 2025. The project uses interdisciplinary methods from social network science, language modeling, and cognitive science. In this longitudinal project we will follow learners of Spanish who
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to those who have expertise in neuroanatomy, small animal surgery, electrophysiology and behavioral pharmacology. Prior working experience with rodent models. Small animal stereotaxic surgery experience
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animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research