PhDFinder
Canada – PhD in Cardiovascular Computational Modeling at McMaster University
PhDFinder, University City, Missouri, United States
Canada – PhD in Cardiovascular Computational Modeling at McMaster University
Join the Canada – PhD in Cardiovascular Computational Modeling at McMaster University role at PhDFinder. University:
McMaster University Country:
Canada Deadline:
Not specified Fields:
Biomedical Engineering, Mechanical Engineering, Computational Modeling, Software Development, Cardiovascular Sciences Are you driven to advance cardiovascular health through cutting-edge computational and experimental research? Imagine contributing to life-saving innovations while earning your PhD at one of Canada’s premier research universities. Pursuing a doctoral degree in cardiovascular modeling and diagnostics offers an unparalleled opportunity to make a measurable impact on both scientific knowledge and patient care. About The University Or Research Institute
McMaster University, located in Hamilton, Ontario, Canada, is recognized globally for its world-class research, academic excellence, and strong commitment to innovation. Research Topic and Significance
The primary research focus of this PhD opportunity is on finite element modeling, computational modeling, and software development for cardiovascular pathophysiology, as well as experimental modeling and advanced flow diagnostics. Project Details
The Advertised PhD Positions Are Supervised By Dr. Zahra K. Motamed, Whose Research Group Specializes In Cardiovascular Mechanics And Disease Modeling. Two Main Research Streams Are Available For Prospective Students Finite Element Modeling, Computational Modeling, and Software Development for Cardiovascular Pathophysiology: Development and implementation of finite element models, Lattice Boltzmann modeling, and computational fluid dynamics (CFD) techniques. Software development and image processing tailored to exploring cardiovascular mechanics and disease progression. Experimental Modeling and Advanced Flow Diagnostics: In vitro and ex vivo experimental modeling using cardiovascular simulators. Application of particle image velocimetry (PIV) for detailed hemodynamic analyses. Candidate Profile
This PhD opportunity is best suited for applicants with a strong background and keen interest in one or more of the following areas: biomedical engineering, mechanical engineering, computational modeling, software development, or cardiovascular sciences. Previous experience in cardiovascular imaging, mechanics, or engineering (strongly preferred). Familiarity with finite element analysis, computational fluid dynamics, or Lattice Boltzmann methods. Proficiency in software development and/or image processing relevant to biomedical applications. Hands-on experience with experimental modeling or advanced flow diagnostics (such as PIV) is advantageous. A collaborative mindset, passion for research, and a commitment to advancing knowledge in cardiovascular health. Application Process
If you are interested and qualified, please refer to the official advertisement for application details. We’re an independent team helping students find opportunities.
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Join the Canada – PhD in Cardiovascular Computational Modeling at McMaster University role at PhDFinder. University:
McMaster University Country:
Canada Deadline:
Not specified Fields:
Biomedical Engineering, Mechanical Engineering, Computational Modeling, Software Development, Cardiovascular Sciences Are you driven to advance cardiovascular health through cutting-edge computational and experimental research? Imagine contributing to life-saving innovations while earning your PhD at one of Canada’s premier research universities. Pursuing a doctoral degree in cardiovascular modeling and diagnostics offers an unparalleled opportunity to make a measurable impact on both scientific knowledge and patient care. About The University Or Research Institute
McMaster University, located in Hamilton, Ontario, Canada, is recognized globally for its world-class research, academic excellence, and strong commitment to innovation. Research Topic and Significance
The primary research focus of this PhD opportunity is on finite element modeling, computational modeling, and software development for cardiovascular pathophysiology, as well as experimental modeling and advanced flow diagnostics. Project Details
The Advertised PhD Positions Are Supervised By Dr. Zahra K. Motamed, Whose Research Group Specializes In Cardiovascular Mechanics And Disease Modeling. Two Main Research Streams Are Available For Prospective Students Finite Element Modeling, Computational Modeling, and Software Development for Cardiovascular Pathophysiology: Development and implementation of finite element models, Lattice Boltzmann modeling, and computational fluid dynamics (CFD) techniques. Software development and image processing tailored to exploring cardiovascular mechanics and disease progression. Experimental Modeling and Advanced Flow Diagnostics: In vitro and ex vivo experimental modeling using cardiovascular simulators. Application of particle image velocimetry (PIV) for detailed hemodynamic analyses. Candidate Profile
This PhD opportunity is best suited for applicants with a strong background and keen interest in one or more of the following areas: biomedical engineering, mechanical engineering, computational modeling, software development, or cardiovascular sciences. Previous experience in cardiovascular imaging, mechanics, or engineering (strongly preferred). Familiarity with finite element analysis, computational fluid dynamics, or Lattice Boltzmann methods. Proficiency in software development and/or image processing relevant to biomedical applications. Hands-on experience with experimental modeling or advanced flow diagnostics (such as PIV) is advantageous. A collaborative mindset, passion for research, and a commitment to advancing knowledge in cardiovascular health. Application Process
If you are interested and qualified, please refer to the official advertisement for application details. We’re an independent team helping students find opportunities.
#J-18808-Ljbffr