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) Applications are due on November 18, 2025. If you have questions about how to apply, please contact Taubman College HR at taubmancollegehr@umich.edu. Job Summary The Architecture Program at the University
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administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Contact Information Questions about the fellowship program may be directed to Dr
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chromatin and nuclear structures during development (www.lsi.umich.edu/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion
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detailing the status of ongoing work, using spreadsheets, word processing, and graphics computer programs, participating in lab meetings, and accomplishing general laboratory tasks and other related tasks as
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for improved interpretability and generalization. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively in interdisciplinary and cross
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computational molecular docking software would also be beneficial. The candidate is expected to be a good team player and have excellent oral and written communication skills. Mission Statement Michigan Medicine
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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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