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of the following paradigms would be considered a plus: C++, C#, Qt, Python, REST, TensorFlow, Docker, user interface design. Previous experience in GIS systems would be a plus. Hardware
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management standards, computer science, information engineering, or a related field is an asset. Experience with Python (pandas, numpy, Jupyter), SQL, or similar data handling tools is desirable. Diversity
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Engine development; intermediate C++ and/or intermediate Python proficiency; interest in extended reality development and machine learning applications; familiarity with version control and collaborative
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such tools critically and responsibly; proficiency in Python or other relevant programming languages. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity
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and analytical tools (e.g. Power BI, Excel or similar), together with knowledge of data querying or programming languages (e.g. SQL, Python, DAX, VBA or similar) and data integration concepts Strong
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opportunities to develop your professional experience and competencies, to learn from ESA experts and to contribute to ESA activities. Technical competencies Python ML Libraries (PyTorch, TensorFlow, scikit‑learn
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Holocene lowlands, and translation them into subsurface maps, sections, and schematizations; Proficiency in numerical groundwater modelling, including the use of coding (e.g. Python) and incorporation
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: Experience with one or more general-purpose programming languages, such as Python, and general-purpose deep learning frameworks. Experience with integrating multidisciplinary inputs. Demonstrated ability in
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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 knowledge of security
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and data acquisition; Overall development and maintenance of the existing Python library used in the SCI-F laboratories; performing digital system programming (microcontrollers and FPGAs) for control