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maintenance of the existing Python library used in the SCI-F laboratories; performing digital system programming (microcontrollers and FPGAs) for control and automation of test equipment; preparing and
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perspective and career goals will also be explored during the later stages of the selection process. You should also have: Demonstrated experience in using Python is an asset. Diversity, Equity and
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. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as
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part of a team. The following would be considered an asset: Previous experience of working in international teams Knowledge in earth observation data, agriculture and programming languages (e.g. python
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domains covered by the position Deep understanding of Linux, Windows, real-time OS, Active Directory/LDAP and other IT enterprise software Proficiency in scripting languages such as Python Very good
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have: Strong analytical skills Strong knowledge in MS Excel and PowerBI or Tableau, as well as in one or more of the following: Python, R, SQL Experience with Machine Learning / AI is a distinct asset
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data processing; familiarity with forest ecosystems is an asset. Strong programming skills (e.g. R, Python), including geospatial data processing. Knowledge of machine learning and deep learning for
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; experience with data analysis and modelling tools, such as Python or MATLAB, including handling of datasets used for training, testing and validation of AI models; an understanding of verification and
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guidelines Familiarity with computational tools such as Python You should also have good interpersonal and communication skills and should be able to work in a multi-cultural environment, both
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documents" field of the "application information" section. You should have: Experience with one or more general-purpose programming languages, such as Python, and general-purpose deep learning frameworks