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requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala
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, including classification, regression, clustering, and deep learning algorithms. • Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including relevant packages
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Target Characteristics: Broad grasp of modern science techniques and approaches deriving. Strong understanding of SQL, light understanding of R or Python helpful. Analytical, creative, perceptive
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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qualitative data. Proficiency in data management and visualization tools (e.g., Excel, Power BI, R, or Python). Type Benefited Staff Special Instructions Summary Additional Information The University of Utah
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using Python, SQL, and R with a high level of proficiency. Detect, troubleshoot, and resolve issues including CPU, memory, I/O, disk space, and other resource constraints. Conduct data profiling, quality
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the position description. Preferences The ideal candidate will have experience with wearable sensors and/or remote monitoring approaches and strong programming (e.g., R, Python, or similar) and writing skills
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teams of people; Strong project management experience coordinating communications and associated logistics on a multi-site research project; Advanced knowledge of Excel, Python, R, NVivo, Dedoose
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stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis
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applying target trial emulation frameworks using observational data. Experience using Python for statistical programming and data science applications. Experience using AI-assisted tools (e.g., ChatGPT