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Synthesizing and presenting research both internally and externally Technical environment: Linux/HPC, Python, R, and shell scripting. Familiarity with version control (Git/GitHub) expected. Strong applicants
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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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., MEL, Python), procedural content generation (PGC), virtual production, lighting, and/or VFX. Candidates with expertise in other related areas of technical art are also welcome to apply. Successful
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, object-oriented programming, server technology, and databases. Strong understanding of Linux toolchains, and debugging tools Proficiency in Python or similar language Experience in git, or similar version
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performance for data throughput and latency Extend functionality to interact with Python or REST APIs Interface with collaboration partners and participate actively in a collaborative work environment to turn
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by research computing Proficiency in scripting or programming (Python, Go) for custom automation. Type Benefited Staff Special Instructions Summary Additional Information The University of Utah values
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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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by research computing Proficiency in scripting or programming (Python, Go) for custom automation. Type Benefited Staff Special Instructions Summary Additional Information The University of Utah values
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by research computing Proficiency in scripting or programming (Python, Go) for custom automation. Type Benefited Staff Special Instructions Summary Additional Information The University is a
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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