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, productive team involved in analyzing -omic data from our ongoing clinical trial studies and larger datasets from systemic sclerosis and other fibrotic diseases. Complementing the analytical work by wet lab
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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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all aspects of fieldwork for the 20-year follow-up of the NSAL, including refinement of data collection procedures (e.g. recruitment messaging, survey questionnaire, informed consent documents), re
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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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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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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to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information The fellowship offers a stipend of $40,000. Comprehensive health
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research
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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