45 assistant-professor-and-data-visualization Fellowship positions at University of Michigan
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in the position and outline skills and experience that directly relate to this position. Job Summary PET NeuroImaging Data Analysis: Multimodal Data Integration for Neuroscience Applications Mission
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of positive solutions. The Institute emphasizes scholarly research and externally focused engagement as vehicles for shaping thinking and dialogue about how the private and impact sectors may help to create a
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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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, 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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% - 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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, this position will contribute to laboratory seminars and discussions, allowing the candidate to impact the direction of their research project and other projects within the research group. Assist in training
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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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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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the position and outline skills and experience that directly relate to this position. Please also include the names and contact information for three references. Preference may be given to applications received
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when