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transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is highly desirable. Demonstrated ability to work independently and
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
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related to computational chemistry for the benefit of Master and PhD students at UM6P, Assist in the delivery of engineering solutions to enable the rapid evolution of applied research through the various
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position in computational research in interface chemical reactions to join our research team focused on studying reaction mechanisms and materials. The ideal candidate will have a strong background in
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular
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, especially in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages