84 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Michigan
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. Your interest in this position and how you learned about it b. The start and end dates during which you would be available to fill this position c. Your familiarity with programming languages (e.g. Stata
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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
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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
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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
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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
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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
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with human sample collection or willingness to learn biospecimen processing and storage procedures 1 - 2 years of experience performing phlebotomy on patients Excellent interpersonal, oral, and written
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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
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) 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
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products Assistant Level: High school diploma or GED is necessary. Familiarity with basic medical terminology. Proficiency in operating a Windows computer and using Microsoft Office software, including Word