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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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to have strong data analytic and programming skills in Python and/or R, as well as proficiency in Unix/Linux system. Review of applications will begin immediately and will continue until the position is
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
, or a closely related field. Established track record of publications or evidence of scientific achievement appropriate for the career stage. Strong experience with Python and/or MATLAB for analyzing high
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: Ph.D. in atmospheric science, meteorology, or climate science Proficiency in Python coding and visualization Familiarity with large reanalysis datasets Preferred Qualifications Work experience beyond
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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an interdisciplinary collaborative setting. The successful candidate should be proficient in programing languages, such as Python. Image processing expertise will be a big plus. Posting Date Closing Date Open Until
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages
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proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement
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Excellent programming skills in various platforms and languages (e.g., Matlab, Python) Ability to work independently and collaboratively Clear and concise verbal and written communication and presentation
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including proper handling of mice behavior, stereotaxic surgery, physiology, molecular works, data collection, and data management. • Experience with data analysis using Matlab, Python, and/or other