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to prepare manuscripts for submission to scientific journals and present at scientific meetings. Detailed documentation of procedures and experimental data are expected. This involves analyses of data
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, Engineering, Physics, Mathematics, Neuroscience, or relevant field. Preferred Qualifications • Proven experience in MRI data acquisition, image reconstruction and data analysis. • Track record of scientific
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-trained and interested in expanding their scientific skills related to skeletal muscle physiology. The candidate will be responsible for coordinating studies, and participate in and supervise data
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 367069 Location Twin Cities Job Family Academic Full/Part Time Full
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, and build and maintain workflows and data pipelines for data QA/QC and facilitate data sharing and open science. Stakeholder engagement (10%): Work with project team and stakeholders to co-develop
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creates a very direct linkage of science to the bedside. The research projects include (1) characterization of different product preparations using anaerobic culture techniques; (2) tracking donor
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: • Experience with next-generation sequencing, spatial transcriptomics, or imaging techniques. • Proficiency in computational biology tools for transcriptomic and genomic data analysis. • Familiarity with animal
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division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care (https://med.umn.edu/surgery/divisions/computational-health-sciences). Duties
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% Experiment design and execution. 15% Data analysis and manuscript preparation. 10% Lab management and administration. Qualifications Required Qualifications: Doctoral degree (PhD, MD, DVM) with dissertation
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: • PhD in Electrical & Computer Engineering, Computer Science, Biomedical