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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
Python programming. Experience guiding trainees in bioinformatics skills. Advanced knowledge of phylogenomic analyses and the use of site-profile mixture models in a Bayesian and Maximum likelihood context
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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engineering or computer science - Coding in python, medical imaging models, AI foundation models - 2-4 years experience in similar field - strong foundation in deep learning is essential - Strong analytic and
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issues. Provides supervision and mentorship to trainees and staff. Teach trainees how to use basic Python and R coding to perform beginner – intermediate level analyses. Present research findings to others
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) Qualifications Knowledge of python or matlab Basic statistical knowledge, e.g., linear regression, Fourier analysis, statistical significance, etc. Before applying, please note that to work at McGill University
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(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
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candidate will have strong data analysis skills, attention to detail, and an ability to work independently. Qualifications: Experience with data collection and cleaning • Programming experience in Python
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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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 2 months ago
. Qualifications: Masters degree in Computer Science. Proficient in Python programming, and deep learning packages like PyTorch and JAX. Prior research experience and publications. Before applying, please note that
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using Python. Python and IBM Watson Analytics are modeling and visualization software used in this course. Practical aspects of computational models and case studies in Interactive Python are emphasized