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. The lab utilizes a range of interdisciplinary and multi-method approaches including advanced statistical modeling, laboratory-based stress paradigms, ecological momentary assessment, and biomarker analysis
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knowledge graphs to develop and test new measures of innovative potential. The project will also assess how these measures relate to multiple indicators of research impact in biomedical research, with a
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techniques, methods, and research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and
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research experiments, determining the most suitable methods to be used. Interpret and perform complex data analysis on experimental results and determine whether they are consistent with goals. Maintain a
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data. The research topics
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. Additionally, the candidate should have strong qualitative research skills and be familiar with quantitative methods. Research responsibilities will include designing a study, collecting and analyzing data
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manufacturers need to trust AI tools to improve production, quality, and safety. The M-CAML (Michigan Cognitive and Adaptive Manufacturing Lab) team aims to develop methods and tools for interpreting and
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methods to generate conclusions based on data. 4. Assist in preparing and writing technical reports, peer-reviewed conference and journal publications; and, present results at local and national engineering
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alongside a team of well qualified predoctoral fellows. Apply and advance econometric methods. Propose new projects and develop grant proposals. This position is ideal for an applicant with a deferred