33 machine-learning-"https:"-"https:"-"https:" Fellowship positions at University of Michigan
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Architecture: Architect, build, and evaluate multi-agent systems powered by LLMs and machine learning, incorporating Orchestrator and Memory agents, vector databases, and knowledge graphs to enable complex goal
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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and processes; - Experience with machine learning and AI tools. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber electrode arrays in neural recording and stimulation applications. Specific
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graphs (ARGs). Research areas include statistical/quantitative/population genetics, genealogical inference, machine learning, genetic prediction, genome-wide association studies, scalable linear mixed
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, diverse group Experience working with standard computer software Previous experience working with and caring for rodents Excellent technical skills for bench work including gene expression analysis, immune
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pediatric health services research and child population health research via didactics, structured mentorship, experiential learning through conducting rigorous and ethical research, and professional
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the various forms of urbanism taught at Taubman College and enthusiastic about the opportunity to teach students in architecture, urban design, urban technology, and/or planning. For more information, visit
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any reason, throughout the course of employment. Learn more about the work modes . Additional Information This is a one-year postdoctoral appointment, with the possibility of renewal based