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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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a multidisciplinary team. Preferred qualifications: Experience in grinding technology. Familiarity with process simulation software (e.g., USIMPAC, MODSIM, METSIM). Prior collaboration with industrial
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advertisement Job description Depending on qualifications, one PhD/postdoctoral research fellowship (SKO 1017/SKO 1352) is available at the TIK Centre for Technology, Innovation and Culture , as part of
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and biomanufacturing challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact. Required Education: PhD in Chemical Engineering or
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and contributing to scientific reports and publications. 3. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Operations Research, Data Science, or a related field. Advanced expertise
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 17 hours ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured