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Interest in mentoring junior researchers Preferred Strong scientific software development skills and a commitment to reproducible research practices Experience applying computational methods to biomedicine
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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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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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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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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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About the Opportunity Description PI Ruben van Genugten is hiring a research assistant for a project developing AI tools for memory research. We build natural language processing methods
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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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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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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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing