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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description: We
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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tools. Integrate the nanocrystals in devices. Cooperate/give support with other postdocs/PhD students/undergrads on various research activities. Report to the group on the progress of your research
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degree / PhD Language skills: Excellent command of German and English; ability to teach courses in both languages Desirable skills and qualifications Completed doctoral degree in a discipline within the
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Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and composites, and sustainable materials. With over 70 researchers and PhD students, and
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of vessels with severe tortuosity and curvature that currently prove to be challenging, even for expertly trained specialists. The project will involve design, fabrication, modeling, planning, controls
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, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners