19 machine-learning "https:" "https:" "https:" "https:" uni jobs at European Space Agency in Netherlands
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/scientific fields; Programming experience in languages such as Python or C++; Knowledge of Nvidia Omniverse; Familiarity with AI or machine learning techniques applied to simulation, control, or optimisation
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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topics including: Artificial Intelligence (AI) and Machine Learning; knowledge of mixed reality development and programming (e.g. AR, VR, XR). Diversity, Equity and Inclusiveness ESA is an equal
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processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting projects with the centre of competence in
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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; Experience in the use of Rayyan or other software for systematic reviews, Mendeley for citation management and SPSS for data/statistical analysis/machine learning. Diversity, Equity and Inclusiveness ESA is an
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significantly enhance the efficiency and effectiveness of mission operations. Topic 3: Digital Twins, AI Enhanced Simulation Models and Machine Learning Simulators are complex software systems used to simulate
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials