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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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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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, with flexibility to expand into other device architectures. The successful candidate will lead experimental efforts in device fabrication and characterization, including integration of protein nanowires
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data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python. Develop physics-based computational models (e.g., finite element analysis) to complement
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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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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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. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of ‘omics data (e.g., metabolomics
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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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first-author manuscripts. Expertise in any or all of these skills is not required. Qualifications: Applicants should have a PhD degree (or expected by September 1, 2025) in Psychology or a related field