51 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Fellowship positions at University of Michigan
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experimental procedures, carry out the experiments, analyze the data, and organize the results for oral and written presentations. They will be expected to participate in and contribute to laboratory meetings
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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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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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of current treatments and identify new therapeutic targets. This person will be responsible for preparing research models, collecting and analyzing data, and manuscript drafting. Required Qualifications* Who
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, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets that drive discovery. As part of the Bioinnovations in Brain
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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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) including training, research strengths, and publications Contact information for three professional references Questions about the position should be directed to Erin Giles at eringile@umich.edu. Job Summary
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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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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential
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Apply Now How to Apply Interested individuals should send a CV, a brief description of research accomplishments and future goals, and the names and contact information for 3 references to Regina