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such as transformers, state-space models, and diffusion models will also have experience on single-cell and spatial transcriptomics and multi-omics data modeling and analysis. Mission Statement Michigan
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faculty instructors. The team is responsible for the administration of the department's graduate programs (2 PhD, 3 MSE, and 3 MEng) and undergraduate programs (2 majors, 2 minors, and a certificate program
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maintenance of regulatory and logistic aspects of laboratory functioning, including but not limited to maintaining accurate data logs, supervising reagent ordering, lab maintenance, being responsible
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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/experiences, and near term goals Links to GitHub, personal website, or portfolio if any Answer to the following question (1 page max): One challenge of the task is to extract topic-specific information from
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data. Developing independent research projects is also encouraged. Former lab members have received on-the-job training in single cell analysis and have gone on to jobs in industry and joined top PhD
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to societal problems, and promote an inclusive and innovative community of service for the common good. Course Description This course provides fundamentals of traffic science, including data collection
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Principles and has three critical components; patient care, education and research that together enhance our contribution to society. Required Qualifications* The successful candidate will hold a PhD, MD or MD
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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for coordination of operation with another department in a research project. Coordinates the processing and analysis of data and the conduct of experimental tests and suggests new or revised research methodologies