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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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engagement. Demonstrated success in publishing refereed journal articles. Interest in applying AI methods to environmental and sustainability issues. Modes of Work Positions that are eligible for hybrid
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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
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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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these methods accurately and independently, interact effectively with computational biologists, and clearly communicate findings through presentations and publications. Candidates with strong expertise in
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the laboratory will also have a strong translational component including involvement in an ongoing clinical trial. The ideal candidate will possess extensive experience in molecular and cellular biology and will
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junior trainees, including graduate and undergraduate students, in technical methods and experimental design. Present research findings at lab meetings, conferences, and through peer-reviewed publications
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with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large
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waters specifically; Develop research questions, research designs, and appropriate methods for conducting empirical investigations related to community resilience and transboundary waters; Develop
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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