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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
databases. Candidates must have experience conducting data analyses using one or more statistical tools including SAS, R, Stata, or Python Preferred Qualifications, Competencies, and Experience Candidates
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, Node.js and Python. Administrative $52,000 - $60,000 Begin time: 8:30 AM End time: 5:00 PM Operating University Vehicles (all types) Expanded Background Check Ability to work flexible hours as needed
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, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and
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experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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, PowerPoint etc) is required Computer programming and data analysis skills are a plus (R, python, SQL, Excel, SPSS etc). Strong communication skills Recruitment process Internship opportunities: We encourage
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research groups and contribute to their research, which is often published in high impact scientific journals. See the latest publications, and learn more about the platform, here: https://cbmr.ku.dk
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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Coding in any one of the languages (Python, NodeJS, Typescript etc.,) Recruitment process Internship opportunities: We encourage students to review the posted COACH internship opportunities and to apply