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innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups and can be self-organized when they reach a critical mass. Academic liberty is
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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efficiency, ion separation rates, energy consumption, etc. Model ion transport and system behavior under different operational conditions. Collaborate with researchers in diverse projects and contribute
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Scientists and faculty members. Research endeavors primarily focus on experimental and Modelling aspects. A notable characteristic of the Centre’s research is the strong collaboration among all members
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applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in battery materials research. Required Qualifications & Experience: Education: Bachelor's degree in
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to research grant applications and proposal writing. Mentor PhD and Master’s students in battery materials research. Required Qualifications & Experience: Education: Bachelor's degree in Chemistry, Materials
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skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment
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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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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response