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individuals with a PhD degree from a recognized university and with substantial expertise in Data Sciences. Qualified candidates will be recruited according to their academic accomplishments. For applications
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of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD
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specialization in Education and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing
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embedded software for CubeSats. They will teach embedded systems and spacecraft engineering and lead experimental research on robust satellite architectures and mission reliability. Key qualifications: PhD
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individuals with a PhD degree from a recognized university and with substantial expertise in Machine Learning. Qualified candidates will be recruited according to their academic accomplishments
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PhD degree from a recognized university and with substantial expertise in Software Systems. Qualified candidates will be recruited according to their academic accomplishments. For applications
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or Mechanical Engineering Experimental experience in small-scale propulsion systems Familiarity with launch dynamics and orbital mechanics Strong publication and lab supervision track record Contact Information
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qualifications: PhD in Telecommunications, Physics, Electrical or Aerospace Engineering Experience in RF front-end design, SDR, antennas, and optical links Understanding of satellite link budgets and LEO-specific
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qualifications: PhD in Aerospace, Physics, Mechanical Engineering, or Physics Expertise in thermal-vacuum testing and radiation simulation Strong teaching record in reliability and space systems Experience in
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development. Key qualifications: PhD in Aerospace, Physics or Mechanical Engineering Experience in propulsion system testing in vacuum environments Hands-on CubeSat or small satellite propulsion projects