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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
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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
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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
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such as space, aviation, automotive, rail or medical; experience with data analysis and modelling tools, such as Python or MATLAB, including handling of datasets used for training, testing and validation
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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
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mitigation approaches Familiarity with various mitigation regulations and guidelines Familiarity with computational tools such as Python You should also have good interpersonal and communication skills and
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Location ESAC, Villanueva de la Cañada, Spain or ESTEC, Noordwijk, Netherlands or STScI, Baltimore, USA. The opportunity ESA’s postdoctoral Research Fellowship programme offers early-career
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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
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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