Physics-Based Modeling Research Internship
Kitware Carrboro, North Carolina USD40–60 per–hour–wage
What they're looking for
- Develop computational and mathematical models of the human body and human physiology.
- Design and implement biomechanical, physiological, or multi-physics simulations.
- Collaborate with software engineers to integrate models into research software and production applications.
- Validate models using experimental or clinical data.
- Work directly with clinicians, researchers, and sponsors to understand technical requirements.
The full posting
Published by Kitware. Original posting
In This Position You Will:
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Develop computational and mathematical models of the human body and human physiology.
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Create patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).
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Design and implement biomechanical, physiological, or multi-physics simulations.
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Collaborate with software engineers to integrate models into research software and production applications.
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Validate models using experimental or clinical data.
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Work directly with clinicians, researchers, and sponsors to understand technical requirements.
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Contribute to Kitware's open source software ecosystem.
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Potential for publication.
Required Qualifications:
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Working towards a Master’s degree or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.
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Experience developing computational or mathematical models of the human body.
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Strong programming skills in C++ or Python (C++ preferred).
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Experience with scientific computing and numerical methods.
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Strong analytical and problem-solving skills.
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Excellent written and verbal communication skills.
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Ability to work collaboratively in multidisciplinary research teams.
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Due to contractual requirements, only U.S. citizens will be considered for this position.
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This is an on-site position with the expectation of 5 days/week in office.
Preferred Qualifications:
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Familiarity with the Pulse Physiology Engine .
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Finite Element Analysis (FEA).
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Biomechanics.
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Computational fluid dynamics (CFD).
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Cardiovascular modeling.
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Digital twins.
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Multiscale modeling.
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Medical image segmentation and registration.
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AI or machine learning applied to biomedical data.
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Grant proposal development and sponsored research.
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