36 data-"https:"-"https:"-"https:"-"https:"-"https:"-"RMIT-University" Fellowship positions at University of Michigan
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experience. Curriculum vitae (CV) including a list of publications. Contact information for three professional references. Applications should be sent via email to [CASTOR.Postings@umich.edu ] with the subject
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, and research. The 884-bed medical center currently employs 2,700 faculty, cares for ~48,000 inpatients per year and provides approximately 2.3 million clinic visits and 54,000 surgeries per year. Data
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contact information for at least two referees who can supply letters of recommendation upon request. Inquiries and additional materials can be sent to lzahodne@umich.edu. Job Summary The Department
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Apply Now How to Apply Upload a resume/CV, cover letter, and contact information for two referees (combined into a single PDF) via the U-M applicant system. Questions about the position should 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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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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contributing to ongoing studies. Core responsibilities include: leading and co-authoring peer-reviewed manuscripts; designing and conducting quantitative and/or qualitative data analyses; contributing to grant
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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. Responsibilities* Empirically characterize sand samples through shear testing, CT scanning CAD and 3D print models for sand intrusion Design and perform impact experiments. Collect data using high-speed video
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of Michigan is committed to foster learning, creativity and productivity, and to support the vigorous exchange of ideas and information, not only in the classroom but in the workplace by: Creating a work