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molecular spectroscopy and nonlinear optics, and is a must for recruitement. Additional qualifications such as training and supervision of master students, and proficiency in Python and/or Matlab are valuable
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, hydro-acoustics, data science, geodynamics, geophysics, statistics, Bayesian inference ⁃ Experience with statistical analyses and machine learning techniques ⁃ Programming in C / python / Julia
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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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processing. Familiarity with tools such as Python, R, or similar for data analysis. Interest in translational research and bridging the gap between lab and clinic. What We Offer: An opportunity to work
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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, or engineering Experience in optical microscopy Independent working skills; Strong communication skills in both spoken and written English to work on an interdisciplinary project; Programming skills in Python
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Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g
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pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings. Coordinate the collaboration between the chronobiology lab (led by Dr. Paul Petrus) and the