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provide a performance or efficiency advantage, and determine scenarios where conventional AI accelerators (such as embedded GPUs or FPGA-based accelerators) remain more appropriate due to data
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in engineering (space engineering in particular) and/or a PA discipline
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for this position, the following is required: PhD in planetary science, Earth science or a closely related discipline. Additional requirements In addition to your CV and your motivation letter, please prepare a
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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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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control systems and/or machine
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in celestial mechanics
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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design optimisations prior to launch. Overall, this work serves to lay a modern foundation for future projects by complementing ESA's existing simulation capabilities with a lightweight, user-friendly and