94 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Michigan in United States
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references.. The Michigan Neuroscience Institute is an inclusive workplace that encourages individuals from diverse backgrounds and with diverse experiences to apply. Please visit: https://medicine.umich.edu
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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
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field. Must be a current Computer and Information Science graduate student at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work independently Good communication
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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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, 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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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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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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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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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