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and data analytics techniques in a research or applied context. Hands-on experience working with Linux - advanced level. Experience programming in Python - advanced level. Practical experience working
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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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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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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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metrics. Applies analytical tools such as Life Cycle Assessment (LCA), spatial data (GIS), and/or environmental modeling to assess circular strategies. Collaborates with academic, governmental, and
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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. Applicants must be familiar with the course content (please consult the eCalendar) Some experience with Python coding Knowledge of statistics and/or data science is an advantage roficiency in English is
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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
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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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, optimization, and maintenance. Expertise with web application development using Python/Flask, along with modern JavaScript frameworks and front-end technologies. Experience with non-relational or distributed