48 assistant-professor-computer-science-and-data-"St"-"St" Fellowship positions at University of Michigan
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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. 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 modes . Additional Information
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AI expertise Experience in single-cell and spatial transcriptomics/multiomics data modeling and analysis Computational biology experience Cancer biology analysis experience Modes of Work Positions that
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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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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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preliminary data for grant proposals. Desired Qualifications* Radiology residency or previous postdoctoral experience with MRI technology development Statistical Analysis of Imaging Data Modes of Work Positions
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the project's multiple principal investigators (MPIs), the Post-Doctoral Research Fellow will contribute to the scientific aims of NSAL, including but not limited to: Assisting the MPIs and Project Director on
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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time at computers for data analysis and documentation. Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a