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operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes: transport properties and selectivity. Monitor and analyze system performance: current
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/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement
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taxonomy in AI-assisted workflows Prototype and test automated classification scripts (Python/R) Document data pipelines and QA/QC procedures Supervision & Training Mentor PhD-level and undergraduate RAs
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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makers and other key stakeholders The Research Assistant will work with a Post-doctoral Research Associate to support activities relating to the above. This includes assisting with recruitment and testing
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. This position will be fully funded on research grants. Responsibilities: Supervise and independently execute studies related to the project described above, including developing and testing machine learning
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell
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using public and proprietary data as well as sensitivity analysis of analytical modelling results against known outcomes. The developed models will then be applied to examine the impacts of various