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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
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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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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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communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a two-year research project in collaboration with international academic partners
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experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization
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mobility in mining. Candidate Profile PhD (complete or imminent) in Renewable Energy, Electrical Engineering, E-Mobility, Mining Engineering, or related field. Proven publication record in sustainability
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, collaborations, and partnerships with industrial institutions and other UM6P researchers/groups on multidisciplinary research projects. Criteria of the candidate: PhD in polymer science, materials chemistry
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, collaborations, and partnerships with industrial institutions and other UM6P researchers/groups on multidisciplinary research projects. Criteria of the candidate: PhD in hydrometallurgy, applied chemistry
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra