34 python-"Basque-Center-for-Macromolecular-Design-and-Engineering-POLYMAT-Fundazioa" positions at McGill University
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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and discuss scientific literature Collaborate with group members in analysis and interpretation Qualifications: Requires strong python programming and communication skills Experience and education: BSc
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students enrolled in a graduate program at McGill University (preferably in Bioengineering, Mechanical Engineering, or Biological and Biomedical Engineering . Some experience with Python coding Knowledge
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in the course. Must be familiar with programming in Python. Must be willing to interact with students in the lab. Must also have good command English language and must possess good communication skills
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). The Bioinformatics Analyst position corresponds to junior members of the team with expertise in large-scale genomic analyses, software development using R and Python, and High-Performance and Cloud computing
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ability to work with internal and external stakeholders. High level of proficiency with MS Office Suite (Word, Excel, Access, Outlook), Windows. Knowledge of Linux/ Python would be an asset. As one
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design Git, and Github flow method of raising and merging pull requests Python JSON schema definition and use Mentoring junior designers/developers Fluent English Additional Asset: Experience writing
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools
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transcriptomic/proteomic data analysis, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing
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modeling, data analysis, or remote sensing. Experience with numerical modeling tools (e.g., WRF, CESM) and programming languages such as Python, MATLAB, or Fortran. Familiarity with observational techniques