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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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improvements in working processes, project management practices, tools and methods; developing and maintaining technical roadmaps for systems evolution; supporting technical activities such as test campaigns
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efficiency; promoting sustainability by identifying and implementing sustainable methods, materials, and processes in workplace development; fostering collaboration across sites by building a network of REFM
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activities Experience in science management at the academic, industrial or governmental level Behavioural competencies Education A PhD in a relevant domain or a master’s degree with relevant experience is
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of international scientific activities Experience in science management at the academic, industrial or governmental level Behavioural competencies Education A PhD in a relevant domain or a master’s degree with
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in chemistry, biochemistry or process engineering with a focus on ECLS and genomics is required for this post. Preference will be given to applicants with a PhD. Additional requirements Knowledge
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the calendar of Council and subordinate body meetings; an effective decision-making process, by ensuring proper coordination and harmonisation of the working methods of Council and its subordinate bodies
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are responsible for optimising REFM deliverables across sites by establishing a common set of strategic objectives, guidelines, performance and quality management systems, optimised methods and processes, planning
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field is required. Additional requirements A PhD with proven research activities in space propulsion is considered an asset. Direct experience in the development of Vega-related products would be
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the programme directorates, is responsible for developing and providing the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data