-
data acquisition or experience in programming and modelling (e.g. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able
-
of the selection process. You should also 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
-
in earth observation data, agriculture and programming languages (e.g. python). Your motivation, overall professional perspective and career goals will also be explored during the later stages
-
for land cover mapping and multi temporal satellite data processing; familiarity with forest ecosystems is an asset. Strong programming skills (e.g. R, Python), including geospatial data processing
-
data fusion, signal decomposition/unmixing, incremental/few-shot learning, and conformal prediction. Academic or professional proficiency in Python and its core scientific/ML frameworks: TensorFlow, JAX
-
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
-
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
-
Engine development; intermediate C++ and/or intermediate Python proficiency; interest in extended reality development and machine learning applications; familiarity with version control and collaborative
-
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
-
; Programming in C, C++ and Python. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment