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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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CO2. Modeling and simulation of absorption/adsorption and regeneration cycles. Process optimization. Develop databases for the systematization of information and knowledge of CO2 capture, purification
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural
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to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and microplastic particles without case-specific
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following responsibilities: ● Adapt, enhance, and validate an existing bottom-up/activity-based emissions model to examine maritime shipping emissions at a global scale. See https://www.sciencedirect.com
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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systemsEducation LevelPhD or equivalent Skills/Qualifications Required skills, knowledge, and experience: Expertise in modeling and simulation (BPMN, DEVS, RO languages). Experience in the field of reconfigurable
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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student in areas related to Computer Science. Basic experience in health data analysis. Python programming. Knowledge of machine models and deep learning. Intermediate English level. Specific Requirements
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Skills/Qualifications Technical Skills: Algebraic programming: Pyomo, AMPL, GAMS, etc. Phyton. Specific Requirements Knowledge: Energy Systems. Optimization model in energy systems and electricity markets