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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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, verbal, and written communication skills, meticulous attention to detail, and proficiency in HCI research methodology, as well as quantitative and qualitative data analysis. Preference will be given
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dynamometry. Develop and maintain analysis pipelines and ensure data quality across sessions. Prepare manuscripts, conference abstracts, and grant applications as first author and contributing author. Develop
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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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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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energy-conversion testbeds, evaluating activity, selectivity, stability, and energy efficiency under realistic operating conditions Develop reaction and reactor models and conduct process analysis