28 python "Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa" uni jobs at Stanford University
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or a combination of education and relevant experience. Experience in a discipline such as computer science, engineering, or statistics. Knowledge, Skills and Abilities: Proficiency in Python and SQL
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application deployment, monitoring, and patch management workflows using scripting languages like Python and Shell to improve reliability and reduce manual effort. Provide 24/7 production support for mission
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chemical analysis using ICP-MS methods including ion exchange chromatography and clean lab digestion techniques. Programming in Matlab, C++, R or Python. Experience in laser ablation analysis by ICP-MS and
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deploying AI-driven applications. Programming Expertise: Proficient in Python; familiarity with Node.js/TypeScript/React and RESTful APIs; ability to read/extend existing codebases. Vector & Search Basics
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to develop Linux-based scripts, program in Python, use of GitHub. Experience with medical imaging datasets. Experience with basic statistics for health sciences. Experience with AI software frameworks
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, propensity-score matching). Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. Create analytic files with detailed
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to contribute to all phases of the project, including conception, design, development, implementation, and maintenance. These tools are written in R, C++, and Python and require an in-depth understanding
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, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go
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QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C
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or Python (preferably both), with excellent reproducible coding style, and in cleaning and merging large datasets. This role is open to candidates anywhere in the United States; however, applicants must be