139 python-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Canada
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): Analytics Environment Setup and Handling Python Environment Setup Proficiency with virtual environments: venv, or conda Package management: pip, and conda, IDE Familiarity Jupyter Notebooks (incl. JupyterLab
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, preferably in Information Systems, is a plus. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same
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basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication
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the purchasing of equipment and materials. Qualifications: Attention to detail. Proficiency with Python and other programming languages. Available on weekends Education/Experience: Experience working with animals
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, Java, C++, or Python) Experience with hardware and server maintenance Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization
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mapping and/or functional genomics using molecular biology techniques such as DNA- or RNA-sequencing. • Experience using R and/or Python for data science and bioinformatics. Assets: • Experience with