83 data-hiding Postdoctoral research jobs at University of Minnesota in United-States
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, immunofluorescence, PCR, qPCR, cell-based assays, fluorescence calcium imaging. • Perform data acquisition and analysis, grant and manuscript preparation, and presentation of findings at weekly lab meetings
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&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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using human induced pluripotent stem cells derived cardiac cell types and associated engineered tissues. As a team member, you will be responsible for conducting experiments and collecting data. You will
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addition, please send a single PDF of cover letter and CV including publication list, and contact information for up to three references to Alik Widge, MD, PhD at awidge@umn.edu . Please do this in
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical
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required, you will be expected to prepare manuscripts for submission to scientific journals and present at scientific meetings. 35% Detailed documentation of procedures and experimental data is expected
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking
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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory