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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors
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, Python, Saltstack, etc). Experience with security protocols and best practices. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical users. Prior
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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office hours • Helping students with Python • Updating course materials Qualifications: • At least two statistics courses • Comfort with regression analysis (knowledge of time series methods is a bonus
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Preferred Qualifications Experience with NLP libraries and toolkits (e.g., Hugging Face, spaCy, NLTK). - Strong programming skills (Python preferred), with experience in ML and data science frameworks (e.g
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. Additional skills in Python and STATA an asset.
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systems, or ecology. Proficiency in GIS, field instrumentation, and environmental data platforms is a strong asset. The position is well-suited for individuals with a graduate degree (M.Sc. minimum
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requirements. They are subject matter experts; they are skilled in research data management, collections, statistics, GIS, metadata, digital preservation, scholarly communications, copyright, teaching, knowledge
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; systems design and development; data analytics; augmented and virtual reality modelling; media obsolescence and recovery; workflows; standards; digital forensics; and/or geographic information systems (GIS
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analytics; augmented and virtual reality modelling; media obsolescence and recovery; workflows; standards; digital forensics; and/or geographic information systems (GIS). Candidates must provide evidence of