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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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University, a community of labs examining brain, mental, and physical health across the lifespan. MINIMUM QUALIFICATIONS Phd in Cognitive Neuroscience, Developmental Psychology, Psychology, or related field
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new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi
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, government officials, journalists/media, etc. Comfortable navigating complex internal processes and structures. Respect for diversity and the importance of interdisciplinary teams. Entrepreneurial mindset
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audiences. QUALIFICATIONS Required: Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline Demonstrated expertise in
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Manufacturing Related Research and Training Programs (50%) Design and execute experimental investigations into process-structure-property relationships for advanced engineering materials (e.g., high temperature
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technical depth in NLP methods and a clear interest in problems related to AI safety. Minimum Qualifications: PhD in Computer Science, Information Science, Computational Linguistics, Machine Learning, or a
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learning approaches (Roux) to evaluate novel biomarkers for ADRD. Minimum Qualifications PhD in Computer Science, Engineering, Bioinformatics, Biomedical Data Science, or a related field Experience in
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and mentoring PhD students, directing their own research program, serving on external program committees, and building collaborative relationships with industry, government, and nonprofit partners
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Affairs to gain experience in maintenance of IND/CTAs and/or NDAs/MAAs, regulatory strategy, regulatory intelligence, Agency meeting management and correspondence, global/regional labeling, and regulatory