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disease, with a particular emphasis on vascular biology, physiology and intracellular signaling pathways. The researcher will be responsible for designing and conducting experiments, analyzing complex
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tumor immunology, cancer metabolism, and therapeutic development. Successful candidates will receive comprehensive training not only in experimental design and execution, but also in grant writing
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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vascular biology and pulmonary hypertension; Experimentation will include molecular biology, in vitro experiments and in vivo studies. collects and analyzes data for research sponsored by appropriate
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design and execute experiments, analyze data, and publish findings in competitive scientific journals. They will develop new methodologies and troubleshoot as necessary. They will also mentor junior
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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experiments in collaboration with the PI and collaborators in the Civil Engineering Department at Ohio State, analyzing the experimental data, and leading a peer-reviewed journal article based on the findings
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exciting research projects that integrate computational and experimental approaches to study host-microbiota interactions in pancreatitis and pancreatic cancer. Required Qualification: Doctoral degree in