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Field
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Resources, Geography, or related fields. Experience in processing and analyzing LiDAR data using open-source scientific programming languages (R or Python). Desirable requirements: International publications
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Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines
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. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
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real-time perception systems and deployment on robotic platforms. • Proficient in C++ or Python; experience with ROS and robotic middleware. • Familiar with UAV systems (e.g., PX4), and simulation
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Python. Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred. Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker
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, or high-dimensional data analysis. Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred. Proficiency in R, Python, or similar programming
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and oral communication skills. Competence in information visualization and interaction design. Basic scripting or control software development skills (e.g., Python or C++) are advantageous. Experience
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empirical research. Applicants should be comfortable working with data and has some experience in either R/Stata/Python/Julia. The position requires strong organizational skills, care in handling data
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(Python, R), good communication skills, and basic knowledge of brain imaging. This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr/files/hr/2023
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submitting (new manuscripts and/or revisions) to the top OR journal listed above. • Proficiency in Python, particularly in optimization package usage and data-analytic related tasks. • Proficiency in