85 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" research jobs at University of Michigan
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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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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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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working in a team-based environment Flexibility in schedule, including weekdays, evenings and weekends, averaging 20 hours per week Excellent oral communication skills Computer skills - word processing
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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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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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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