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Field
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Maintain a mouse colony and establish genetic crosses Maintain detailed experimental records Use standard laboratory software that includes Microsoft Word, Excel, and PowerPoint, GraphPad Prism, SnapGene
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aspects of CMS, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and
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, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and simulation
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environmental challenges while achieving high biomass yields, optimal fiber and chemistry attributes, net positive carbon sequestration, and improved soil health. Through understanding crop physiology, along with
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. PV field system data analysis (time-series data analysis with JMP software and /or Python). Accelerated ageing procedures (IEC standards). PV module failure modes. Corrosion. Strong communications
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regulatory network inference, cell lineage reconstruction, multi-dimensional data integration and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role
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inquiries and nominations should be directed in confidence to: Anna Godwin, Research Faculty Recruiter, Anna.Godwin@osumc.edu Faculty Defined Clinical faculty (regardless of rank) - Persons with titles
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pathologic processes. Challenging aspects include image segmentation of the lung, lobes, airways, and vascular tree; extending our tissue characterization software to include 3D anatomic features as
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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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scholarly activity in areas of interest. Scholarly activity is defined broadly and includes, for example, proteomics, LC-MS/MS-based approaches, data analysis and informatics for mass spectrometry-based data