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that contributes to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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of translational neuroscience, clinical phenotyping, and advanced neuroimaging methodologies. Neuropsychological data will be integrated with multimodal imaging findings and basic science investigations to elucidate
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the Center, Randall Stafford, MD, PhD, is the Director of the Center's Program on Prevention Outcomes and Practices. He and his research team focus on creating healthcare models that emphasize effective health
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practice in otology-neurotology, be an active teacher of medical students, residents, and fellows, and to develop a robust research program. Applications are being accepted now and will be accepted until
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cell reprogramming. Required Qualifications: · PhD (or equivalent) in stem cell biology, developmental biology, molecular biology, neuroscience, or a related field. · Demonstrated expertise in cell
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The Department of Otolaryngology — Head & Neck Surgery (OHNS) at Stanford University School of Medicine seeks a developmental biologist (PhD or MD) with interest in neurosensory biology to join the OHNS Department
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the qualifications and experience of the successful candidate. The successful applicant should be board certified/eligible and can develop and lead a program in pediatric palliative care. Exceptional candidates will
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are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: Your CV Brief statement of research interests 3 references Stanford is an
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faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits , including housing assistance
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. Required Qualifications: PhD in Computer Science, AI/ML, Computational Biology, or a related quantitative field. Proven expertise in deep generative modeling and large-scale multimodal learning. Experience