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proposing approaches to address these gaps as input to the relevant ESA technology roadmaps; contributing to semantic interoperability, i.e. how to use conceptual data models (ontologies) to drive meaningful
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Robotics, control, computer science, computer vision, machine learning and AI, remote operations, human-robot interaction and
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Internal Research Fellowship Opportunity in the Directorate of Technology, Engineering and Quality. ESA is an equal opportunity employer, committed to achieving diversity within the workforce and
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engineering, chemistry or material sciences with a focus on lithium-ion batteries, batteries or related technologies. Preference will be given to applications submitted by candidates who have received their PhD
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Efficiency Fostering Cooperation Relationship Management Continuous Improvement Forward Thinking Education You should have recently completed or be close to completing a PhD in engineering, aerospace
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Improvement Forward Thinking Education You should have recently completed or be close to completing a PhD in mechanical or aerospace engineering. Preference will be given to applications submitted by candidates
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of a PhD in a subject relating to materials physics and chemistry, contamination engineering or thin film optical coatings. Preference will be given to applications submitted by candidates who have
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completing a PhD in a relevant field such as data science, AI, Computer Science, machine Learning, Earth System Science, Climate etc.. with the subject of your thesis being relevant to the description
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Education You should have recently completed (within the past five years) or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, Machine Learning, Earth System Science
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Operational Efficiency Fostering Cooperation Relationship Management Continuous Improvement Forward Thinking Education A PhD in artificial intelligence, software engineering or data science is required