2,939 phd-position-in-data-modeling-"Prof"-"Prof" 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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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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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
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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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This position will focus on the molecular beam epitaxy (MBE) growth and characterization of thin films and heterostructures of complex oxides. The successful candidate will also engage in the micro- and nano
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• Understanding of agricultural production systems in the U.S • Experience working with spatial data and machine learning models. • Strong knowledge of programming languages, such as Python, R . • Demonstrated