93 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" research jobs at The Ohio State University in United States
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conditions. Responsibilities Plan, design, and execute experiments of considerable scope and complexity in cardiovascular and endothelial biology. Investigate mechanisms of microvascular endothelial
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mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability and biomanufacturing challenges, mentor students
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can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/21953230/post-doctoral-scholar Return to Search Results
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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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supportive services directed towards achievement of positive patient care outcomes, maximizing the patients involvement in his/her own plan of care and reducing the length of hospitalization, The staff nurse
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care and supportive services directed towards achievement of positive patient care outcomes, maximizing the patient?s involvement in his/her own plan of care and reducing the length of hospitalization
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working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/21912246/post-doctoral-researcher Return to Search Results
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create meaningful impact at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/21912238/visiting-researcher Return
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match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/21882621/clinical-research-assistant Return to Search Results
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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is