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PhD degree from a recognized university and with substantial expertise in Cybersecurity & Privacy. Qualified candidates will be recruited according to their academic accomplishments. For applications
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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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(UM6P-FMS), the Cluster's main institution, endeavors to build very high-level medical and paramedical study programs. UM6P-FMS aims to train medical doctors, PhDs, pharmacists and nurses in a scientific
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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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government agencies. Qualifications: Educational Background: PhD in Chemistry, Materials Science, Chemical Engineering, Environmental Engineering, or related fields. Candidates with experience in or a strong
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propulsion systems. The candidate will conduct experimental research on hybrid/solid propulsion, payload deployment mechanisms, and micro-launcher development. Key qualifications: PhD in Aerospace; Physics
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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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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