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-level Unix-based server applications. Strong scripting skills required including Shell, bash, Python, and/or other interpreted languages. Experience configuring databases and database-backed applications
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, including but not limited to, Archivematica, AtoM, BitCurator, MoveIt, and Archive-it. Practical experience with learning and using programming languages (e.g, Python). Practical experience with digital
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling
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data science tools and techniques (e.g., Python, R), database design and management, algorithmic auditing, human-centered design, and interdisciplinary research methods bridging technical, social, and
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maintain ETL pipelines for data warehouses. Exceptional analytical skills, showing fluency in SQL, Python, Java, or Scala. Knowledge of cloud platforms such as AWS, Azure, GCP. Ability to effectively
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configuring and troubleshooting network technologies (TCP/IP, VPN, SSL/TLS, firewall management) Proficiency in scripting languages such as PowerShell, Bash, or Python for system automation and maintenance
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title: CSC108H1S - Introduction to Computer Programming, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: Programming in a language such as Python. Elementary data types
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University of Northern British Columbia | Prince George North, British Columbia | Canada | 14 days ago
sensing, GIS, and cartography. Applicants for this position should hold a PhD in Geography, Earth or Environmental Sciences or a closely related field with a strong background in geomatics research (e.g
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relevant Data Engineer experience with strong background in ETL/ELT processes. Experience with data pipeline tools and platforms (e.g., Apache Airflow, AWS Glue, Talend, etc.). Proficiency in SQL, Python
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working