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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 8 hours ago
languages such as C, C++, Java, Python, R, SQL, TSQL, PL/SQL. Working knowledge and 3-4 years of experience with public cloud infrastructures such as Microsoft, Azure, Oracle Cloud Infrastructure (OCI
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such as Excel, R, Python, or SPSS; familiarity with SQL or DAX is an advantage. • Excellent communication skills in both spoken and written English Personal Attributes • Possess strong interpersonal skills
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experience. Preferred Qualifications Experience working with programming language skills SQL, Python, R, Java script, Experience in visualization program such as Qlik Sense and Tableau experience is a plus
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setting. Creates database-to-deployment pipelines for models using the vital programming languages (primarily R, Python, SQL). Creates sustainable data science infrastructure and adheres to data analysis
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to: Design, prototype, and test laser-based systems for field use. Conduct field deployments including sensor installation, calibration, and troubleshooting. Write and implement Python-based scripts for sensor
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depend on the research group a successful candidate is associated with. Drs. Dickson, Feig, and Vermaas will expect that the researcher has prior experience with a programming language such as python and
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. You will have extensive knowledge of Python, including package development and experience of the academic research software development cycle, including deployment, maintenance and user support. You
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implementing and maintaining AI/ML pipelines. Proficiency in MLOps, Python, SQL, and CI/CD is required. This role also requires a deep understanding of Epic data models (Clarity and Caboodle). Successful
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Python-based frameworks or a web application) enabling image upload, AI-based analysis, and visualization of bacterial phenotypes. Perform image analysis using existing deep learning algorithms developed
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computational tools and models (Python-based) for protein sequence and structure prediction, design, and optimisation. Integrate computational predictions with experimental validation to create data-driven