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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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and statistical analysis skills for experimental data interpretation. Rigorous scientific documentation practices, including maintenance of detailed laboratory notebooks and research records. Excellent
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and computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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. The position contributes to scholarly publications, sponsored-research deliverables, and the training of graduate and undergraduate researchers. Minimum Qualifications Required PhD in Chemical Engineering
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approach and to lead publications and conference presentations from the pilot data. MINIMUM QUALIFICATIONS PhD in education, sociology, psychology, measurement/assessment, public policy, or a related field
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and training of graduate students. · Other duties as assigned. Qualifications Applicants should have a PhD degree in Immunology, Nutritional sciences, Biochemistry, Microbiology, Biology or a related
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, presentations, grant proposals, etc. Assist with laboratory management and training of graduate students. Other duties as assigned. Qualifications: Applicants should have a PhD degree in Neuroscience, Immunology