53 modal-analysis-machine-learning Postdoctoral research jobs at The Ohio State University
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the analysis and interpretation of research data; responsible for the extraction, analysis and presentation of research data; coordinate the analysis of research findings and prepare detailed summaries
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, tissue handling, molecular assays, flow cytometry, and/or RNA analysis are essential. Minimum Education Requirements Doctoral Degree (PhD or MD) Additional Information: Location: Davis Heart and Lung
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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development. Key Responsibilities: Research (80%) Conduct advanced research in protein characterization and bioinformatics. Perform metagenomic analysis to explore microbial communities and their functional
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decision-making for complex infrastructure systems. This position offers an opportunity to contribute to interdisciplinary research at the intersection of civil engineering, machine learning, and systems
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, cleaning, and analysis, developing and delivering presentations, and participating during on-site agency partner meetings and data collection, and disseminating research results to academic and practitioner
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collection, cleaning, and analysis, developing and delivering presentations, and participating during on-site agency partner meetings and data collection, and disseminating research results to academic and
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of the following: primary human melanocyte culture, inflammatory skin disease, single cell bioinformatic analysis, murine models; and a proven ability to work both independently and collaboratively. The Department
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Center Department: Pharmacy | Pharmaceutics and Pharmacology The Pharmacoanalytical Shared Resource (PhASR) seeks a postdoctoral scholar to learn and apply pharmacometrics methodologies in cancer-focused
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run