143 parallel-computing-numerical-methods-"https:" research jobs at The Ohio State University
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Information Science and Engineering Department: ERIK | Center for Quantum Information Science and Engineering The Center for Quantum Information Science and Engineering (CQISE) is a University Center focused on Ohio
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manufacturing builds; Develop unique gas metal arc DED procedures to make sound high quality builds with different Ar-H shielding gases. Support advanced characterization of Fe-10Ni test builds using methods
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activation, cytotoxicity, and persistence. Additional methods may involve CRISPR-based perturbations, viral vector engineering, and immune cell manufacturing workflows relevant to CAR-based therapies. In vivo
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science journals/conferences and biomedicine journals. The Post Doctoral Scholar will work closely with Dr. Weidan Cao (https://medicine.osu.edu/find-faculty/non-clinical/biomedical-informatics/weidan-cao ) in
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to lead analyses critical to the high-throughput identification and characterization of RNA modification enzymes research program and to take initiative in contributing to the design and implementation of a
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Cancer Care Program Department: CCC | Cancer Prevention Position Summary Clinical Research Assistant who provides daily operational support to the Total Cancer Care Program, TCCP, in the Comprehensive
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches
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research activities, contribute to study design, implement and refine research methods, and support project leadership in ensuring the successful execution of all phases of the assessment. Responsibilities
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experience with a Major in biological sciences required. Required Qualifications 2-4 years of relevant experience preferred. Experience in research capacity desired; computer skill required with knowledge
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. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology, and the integration of telemetry, demographic, and environmental