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detection and response capabilities in the context of space communication protocols and mission operations, leveraging artificial intelligence where appropriate; Developing and validating approaches
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propulsion, engine clustering, low structural ratio and low-cost system-integrated avionics; develop mathematical models relating to the cryogenic liquid engines and their components to be applied
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the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software. (a)Assessing the performance and fault tolerance of neuromorphic hardware The main objective
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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collaboration with international partners. Interfacing with partners, knowledge management and dissemination: Support and represent ESA within the external scientific and technological communities; Support and
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to the preparation of presentations and other communication media to promote ESA Mission Classification within the Agency, as well as with ESA Member States and official bodies, along with ESA industrial partners
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pathfinder to explore novel, potentially promising areas for ESA and the space sector, ranging from applied to basic fundamental research topics. An important task of the team is to communicate scientific
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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 for this position
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the UNFCCC Paris Agreement reporting requirements for signatories. Another major focus of the CCI is to connect the climate observation and modelling communities. The ESA Climate and Long-term Action
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the European space community. Technical competencies Knowledge relevant to the field of research Research/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or