154 assistant-professor-computer-science-data "https:" "https:" positions at European Space Agency
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to the end-to-end definition of space missions, including system engineering, orbits and mission analysis, instruments, spacecraft platforms, end-to-end performance, data flow, launcher interfaces, and ground
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Location ESA Headquarters, Paris, France Our team and mission As part of the ESA Directorate of Space Transportation, the Future Space Transportation Preparation team (under the FLPP programme
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into demonstration missions in coordination with other engineering domains in the Directorate of Technology, Engineering and Quality; defining the Directorate’s IOD/IOV strategy in line with the programme directorates
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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. If selected, you may provide administrative, organisational and management assistance to a Department, Programme or Office forming part of a Directorate Management Team, or to a Committee Secretariat within the
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of the Earth and other planets. In-situ characterization of the interaction/propagation environment. Payload data processing and data science techniques, simulation and performance evaluation tools. For what
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closely with all ESA Directorates, including support in the implementation of programme activities. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research
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teams required to support and implement Mars and Beyond Science activities; managing the preparation and dissemination of science data products; engaging with the science community, ESA’s science advisory
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Watch missions, are generated and managed using a flexible and resilient industrial service-oriented architecture: the ESA Missions Operations and Data Management Framework for EO Science Missions (EOF
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of the future, including: the use of faster processors being pushed by CubeSat technology; new requirements for cybers ecurity driven by actual threats; ever-higher data streams and volumes downlinked from