46 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at University of Michigan in United States
Sort by
Refine Your Search
-
at the University of Michigan is available here: https://hr.umich.edu/working-u-m/my-employment/academic-human-resources/benefits-postdoctoral-research-fellows Responsibilities* Curate and build their own research
-
crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values . Why Work
-
at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work
-
molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
-
research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
-
automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
-
behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract
-
conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
-
) in addition to Medicare and Medicaid claims. Our team also has extensive methodologic experience, including natural experiments/econometrics and various machine learning techniques. The Fellow will
-
, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be