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learning path that complements their academic education. The ESA Academy programme comprises of three main segments: An academic TRAINING programme which offers individuals a portfolio of highly qualifying
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: Natural language processing (NLP) Large language models and generative AI Machine leaning Data analytics General data protection and privacy regulation Technical competencies Knowledge of relevant technical
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contributions to corporate tasks, such as reviews, standardisation, alerts and lessons learned, you will report to the Head of the Product Assurance and Safety Department through the Head of the Navigation
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learning path that complements their academic education. The ESA Academy programme comprises of three main segments: An academic TRAINING programme which offers individuals a portfolio of highly qualifying
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, mainly based on Microsoft Azure and the Microsoft Office 365 suite and environments; assisting in the management of documents, administration, policies, user learning materials and a user guide library
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Management Continuous Improvement Forward Thinking Education You should have just completed or be in the final year of your master’s degree in Software Engineering, Computer or Data Science, or Electronic
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through application of various techniques for supporting the development of applications in all space domains. Some techniques like machine learning are now well established and provide results is many
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to the test plan; • data analysis and reporting. In this project you will learn about space science instruments, space science detector technology, performance characterisation equipment and techniques, test
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learning path that complements their academic education. The ESA Academy programme comprises of three main segments: An academic TRAINING programme which offers individuals a portfolio of highly qualifying
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area expertise in one or multiple of following domains is an asset: AI (Machine and Deep learning), Cyber Security, AR/VR technologies, Optical Communication, RF, Embedded software development