682 python "https:" "BCAM The Basque Center for Applied Mathematics" positions at Northeastern University
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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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 for software and
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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 solve logical problems
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high-level object-oriented programming and scripting languages, such as Python and/or C++ Experience developing embedded systems for consumer and aerospace industries. Understanding of SQL database
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knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with containerization (Docker) and orchestration (Kubernetes
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statistical analysis software (R, Python, SPSS, or similar) preferred Experience with data modelling or database design preferred Position Type Temporary Additional Information Northeastern University considers
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limited sample proteomics is highly desirable. Knowledge of R or Python coding would be desirable but not necessary. Applicants must include the following with their application: 1. Resume/CV 2. Cover
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, REST/SOAP APIs SQL and database management Scripting languages (Python, PowerShell, or similar) Version control systems (Git) Integration monitoring and troubleshooting tools Key Accountabilities
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database management for the data sharing portal website. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and
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, and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) Key Responsibilities Responsible for day-to-day procurement activities within assigned commodities/thresholds, including, but