2,951 phd-position-in-data-modeling-"UCL"-"UCL" positions at The Ohio State University
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in co-developing research and the modeling, data analysis, and translational methods needed to inform solutions to local and regional sustainability challenges. Collaborate with interdisciplinary
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional Information: Location: CBEC (0248) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First
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and murine models and employ a wide range of techniques to interrogate systems ranging from intact fresh tissue to individual cells. The Postdoctoral Scholar will contribute to ongoing projects
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alignment with the professional practice model. Position Summary : The Clinic Nurse is responsible for managing and providing care to the patient and his/her family, and for directing and supervising nursing
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experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional Information: Location: CBEC (0248) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First
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also considered. Technical skills Proficiency in R, Python, SPSS, STATA for statistical analysis, and modeling. SQL for data extraction and database querying. Experience with end-to-end data pipelines
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approval, collect data and report biology educational research results. The Postdoctoral Scholar will help coordinate biology education research and assessment efforts among CLSE staff and with faculty and