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systems, including CubeSats. Responsibilities include developing advanced test protocols (thermal cycling, radiation exposure), overseeing lab facilities, and integrating testing methods into teaching. Key
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challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non
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, Fisher-Tropsh, etc. CO2 capture methods CO2 utilization & conversion to high-value chemicals (e.g., electro/photo chemical CO2 reduction, catalytic chemical conversion, biological, etc.) CO2 mineralization
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synthesis will involve wet chemistry and other well-established solid-state methods. Required qualifications: The candidate must hold a PhD degree in Materials Science, Materials Chemistry, Inorganic
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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is 100 hours. Supervise graduate students working on master's or PhD theses related to computational modeling and simulation-driven materials discovery Provide academic advising to students, guiding
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of researchers and industrial partners. Ensure the continuous improvement of characterization workflows and the adoption of emerging technologies. Provide expert guidance on experimental design, method development
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Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing
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related to the characterization of odors sources and the associated chemicals. Candidate Profile: PhD in Environmental Science, Chemistry, Atmospheric Science, or related fields. Experience with air
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systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB