25 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Canada
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of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records. Track
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with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries
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on the different project assignments. Stay informed of the most relevant bioinformatics practices. Other Qualifying Skills and/or Abilities Strong client-service orientation is essential. Proficiency in implementing
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2179H – Machine Learning with Applications in Python Course Description: Machine learning has
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. HELIX is designed to measure cosmic ray isotopes at high energies with unprecedented precision. HELIX aims to cover a wide energy range using multiple flights with different detector configurations
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-Transform-Load ETL concepts, principles, and tuning strategies; experience with SQL programming including advanced queries in multiple database technologies such as Oracle and SQL Server. Experience in Python
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on requirements and timelines; troubleshoots problems with teaching and learning technologies. Writes, modifies, and improves code written in languages such as Python and R to automate administrative tasks
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of variants or using data from different sequencing techniques (e.g. long-read)), and contribute to the development of scientific manuscripts, reports and funding applications. Central to the work, is
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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
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applications to automate workflows (e.g., using Python, ArcGIS API, FME) Embed spatial tools within StoryMaps, dashboards, or other web environments Evaluate and recommend technologies that improve data