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the Agency. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship You as an AI/ML Software Engineer will develop AI models and integrate them
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the future of offshore wind structures by developing integrated models of turbine dynamics under wind, waves, and future climate conditions at TU Delft. Job description Offshore wind energy is expanding
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Portfolio Management Office, which provides structured control and governance over the REFM project portfolio, supporting alignment of projets with departmental and Agency objectives. Reporting to the Head of
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scripting) Knowledge of the genetic architecture underlying complex human phenotypes Desirable experience includes: Structural equation modelling (e.g. lavaan) Twin modelling approaches (e.g. OpenMx) Meta
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European cohort of cognitively unimpaired individuals at risk of the disease. You analyse structural, diffusion, perfusion, and functional MRI measures to identify network and microstructural alterations
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spans the full implementation research cycle, including: Collection and synthesis of epidemiological, health-system and policy-relevant data. Supporting structured stakeholder consultations and decision
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website: http://www.esa.int Field(s) of activity/research for the traineeship Under the coordination of the Vega-E Liquid Propulsion Module Product Manager, in support of current developments of the Vega-E
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years, SURF has grown significantly in size, responsibility, and impact. This growth requires greater focus, integration, and effectiveness. That is why we are building a new structure for a single, agile
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. It aims to develop a powerful network in the Swiss deep-tech ecosystem and bring it closer to ESA. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Artificial Intelligence / Machine Learning for ECSS space standards requirements