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. This position involves the development, implementation, and refinement of computational tools and models to support both empirical and simulation-based studies. The ideal candidate will have a strong background
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Quantum Information Science and Engineering (QISE). This prestigious fellowship is hosted by the Center for Quantum Information Science and Engineering (CQISE) at The Ohio State University. The ideal
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; experience performing basic laboratory procedures to process biological specimens may be desired; computer skill required with knowledge of database software applications desired. FUNCTION/SUBFUNCTION
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, and therapeutic response and resistance and to translate these findings to improve patient outcomes. The overall goal of this research program—spanning basic mechanistic discoveries, application of high
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental
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of the Medical Staff, and the direction of the attending psychologist. Completion of current doctoral program is required. 50% of duties will be inpatient. 50% of duties will be outpatient. Additional Information
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procedures to process biological specimens desired; computer skill required with knowledge of database software applications desired. FUNCTION/SUBFUNCTION: Research and Scholarship/Clinical Research CAREER
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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Accreditation Commission for Education in Nursing (ACEN) accredited nursing program required. Current Ohio license or interim permit. *Experience in relevant care setting preferred. Additional Information
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Qualifications: Master's degree in Biological Sciences required or an equivalent combination of education and experience is required, PhD preferred. 3 years of experience in a biological/health research capacity