12 python-"https:"-"CIPMM---Systemic-Neurophysiology" positions at The Ohio State University
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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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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such as SQL, SAS, Python, and R. Additionally, the role involves collaborating with a team of scientific informatics staff to design and implement integrated application software and databases. The Research
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orchestration such as Kubernetes. Proficiency in shell scripting. Experience with revision control systems such as Git. Proficiency in one or more programming languages such as Python or Ruby. Demonstrated
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Tableau. Professional experience with query languages such as PL/SQL, MySql, and T-SQL and databases like SQL Server, Oracle and/or MySQL are required. Familiarity with Python development. Demonstrated
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-on experience implementing ETL (or ELT) best practices at scale. * 3 to 5 years using Python, Java, Scala, or other programming languages for data processing (Python preferred) * Experience in working
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Sciences | Chemistry and Biochemistry Administration A postdoctoral researcher appointment is available in the Carpenter Nanoparticle Spectroscopy Group (https://www.carpentergroup.site/) in the Department
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management capabilities. Proficiency in at least one coding language such as Python, R, or SQL. Desired Qualifications 2 years of relevant experienced preferred. Familiarity with intellectual property
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or Python required. Deep knowledge of data visualization and reporting tools (e.g., Tableau, Power BI) to effectively communicate research findings. Demonstrated ability to extract and model student data from
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of large scope and complexity. Strong understanding of research methods, survey design, sampling approaches, and analytical techniques. Proficiency in statistical software (e.g., R, Stata, SPSS, Python) and