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, machine learning techniques, and domainspecific scientific knowledge. This role is responsible for processing and analyzing complex datasets, developing and optimizing machine learning models, and
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, digital twins) Familiarity with process control, optimization, and uncertainty quantification Experience integrating simulation (e.g., CFD, DFT, kMC) with machine learning models Background in energy
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tool intended for use by transit agencies to assess and optimize the battery life of battery electric buses. Research Technician 4 will support documenting and summarizing test results; may assist with
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, digital twins) Familiarity with process control, optimization, and uncertainty quantification Experience integrating simulation (e.g., CFD, DFT, kMC) with machine learning models Background in energy
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technical expertise in immune monitoring technologies, cytometry, and advanced data analysis workflows. This role partners closely with investigators to design and optimize experiments, train researchers
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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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optimization of the departments digital marketing strategy across owned and paid channels. Reporting to the Associate Athletics Director for Marketing & Live Events, this position serves as a key leader in
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genomics teams at The Ohio State University, and USDA Agricultural Research Service (ARS). The research will evaluate multiple strawberry genotypes grown under controlled environments and optimize
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‑procedural nursing care, patient assessment and monitoring, medication administration, hemodynamic and rhythm monitoring, and collaboration with physicians and multidisciplinary team members to ensure optimal
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allergies and appropriate regimens; coordination of patients' pharmaceutical needs with physicians, advanced practice providers, and nurses; utilization of clinical pharmacy privileges to promote optimal