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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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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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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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communication and organizational skills to join our lab (Paula Anne Newman-Casey eHealth Lab (google.com)). We are seeking someone who has completed their doctoral training (PhD) in epidemiology, statistics
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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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1, 2026. This position is supported by external funding. Any offer and start date are contingent upon receipt of the sponsor's formal renewal notice. Additional Information: The University of Michigan
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program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of
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, providing guidance as requested or needed. Required Qualifications* A PhD in a relevant specialized field, acquired within the past six, maximum seven, years, is required before appointment. Applicants should
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced