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Field
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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space research Behavioural competencies Education You should have recently completed (within five years), or be close to completion of a PhD in radiation, space physics and/or information technology
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, requiring the application of space engineering methods. General Requirements A PhD in physics or chemistry In-depth knowledge of space engineering Excellent written and spoken English some experience with
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-based materials and composite systems for space applications. The successful candidate will contribute to research focused on the design, synthesis, processing, characterization and performance assessment
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0347-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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missions. Our team and mission The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics, and fundamental physics. Within ESA’s
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spaces, data protection, privacy and digital trust frameworks. Where to apply Website https://www.mtu.ie/vacancies/ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills
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knowledge of physics/optics (a PhD in these fields is required). Expertise in photonics is a plus. Specific Requirements Knowledge on optical fibers, a taste for precision experimentation, knowledge
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-RIA 1.0 project. Funded by the Netherlands Space Agency (NLSA), NL-RIA 2.0 will maintain the existing focus of NL-RIA on breakthrough technologies to implement miniaturized radar missions with
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systems, unconventional computing and fundamental physics; participate, together with the team, in the assessment of innovative space-system concepts, and propose new deep-learning-based models and studies