48 assistant-professor-and-data-visualization Fellowship positions at University of 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
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stakeholders to design oligo modifications aligned with project goals. Support experimental design and data analysis to ensure robust technical outcomes. Resource Management & Compliance Maintain inventory
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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 of lab members
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with diverse experiences to apply. Please visit: https://medicine.umich.edu/dept/michigan-neuroscience-institute for more information about the Institute. Why Join Michigan Medicine? Michigan Medicine
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Research Fellow. CID is a multidisciplinary research center that carries out cutting-edge substantive and methodological research on social and economic inequality and helps expand the scientific data
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Apply Now How to Apply Application Includes: CV Research statement (250-500 words) Statement of professional goals (250-500 words) Contact information of 3 professional references Job Summary The
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profession. Work at Michigan and become a victor for the greater good. Responsibilities* Support the organization and annotation for our large scale genetic and genomic data cohort Quality-check biomedical
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms