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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 4 hours ago
Requirements Skills/Qualifications Technical skills and level required: master's level in computer science, mathematics, applied mathematics, or engineering. Languages: English. Relational skills: easy
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 19 hours ago
physics, and space telescope technology development. The participant will collaborate with scientists, engineers, and technical staff to explore how mirror segment fabrication, stress compensation
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degree in Mechanical Engineering or related field. Experience in experimental study of mechanical processing Hands on experince in practical engineering and process design A critical attitude towards
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Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry. This post is within the School
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knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process
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biology, chemistry, physics, math and engineering education research, plus Education Research-adjacent faculty who attend periodically. Postdocs will receive guidance and training in writing from
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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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the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral and written communication skills and
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5 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Communication engineering Engineering » Electrical engineering
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also be able to process and transform historical, multilingual or otherwise non-standard textual data and to design and validate evaluation benchmarks; have strong Python and software engineering skills