83 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Michigan
Sort by
Refine Your Search
-
Apply Now How to Apply Apply through http://careers.umich.edu/ (click on “APPLY NOW” box on the upper right corner of this page). Applications will only be accepted from current graduate students
-
. Please visit the lab webpage https://sites.google.com/umich.edu/limbachlab Who We Are Vision: We aspire to be the world's preeminent college of engineering serving the common good. Mission: Michigan
-
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
-
; treat others with respect, and dignity, and in a manner where individuals feel they belong; listen; value feedback; and learn from the perspectives of others. The stipend will be $70,000 per year based
-
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
-
collection kits Inventory Protocol creation Quality checking Works well in a team environment Required Qualifications* Basic computer skills (email, Word, Excel) High level of attention to detail Good
-
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