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interests and career goals, including research accomplishments and how this position relates to future research plans (1-2 pages). Curriculum Vitae (CV) including a list of publications. Contact information
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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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technology and engineering, data modeling, national surveys and epidemiological research. Compensation and Benefits This Postdoctoral Research Fellowship position includes: Annual compensation based on levels
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studies, data science, bioinformatics, artificial intelligence, and clinical and translational research. Candidates will be responsible for performing reading, thoughtful analysis and synthesis
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, i.e., machine learning models explicitly constrained by physical laws (e.g., conservation of mass, momentum, or energy) or designed to integrate physics-based models and data-driven learning
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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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, 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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analytical lab equipment. Collect and interpret all data for all synthesized compounds and intermediates: Any form/type of NMR; Mass spectrometry; HLPC-UV purity. Computational work with Schrodinger molecular
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information, visit taubmancollege.umich.edu/fellowships Required Qualifications* Applicants must hold a master's degree in architecture with at least two years of professional experience. They should
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multi-omics data integration (e.g.: ATACseq, RNAseq, single cell RNAseq and spatial-omics platforms like CODEX/mIF or 10x Visium). The fellow will work with several research collaborators in the EECS