PhD Position: Automated ODE Model Development
1 week geleden
Project Overview
We are seeking a highly motivated PhD researcher to contribute to the development of an advanced framework for automated Ordinary Differential Equation (ODE) modeling. The project aims to improve the efficiency and accuracy of ODE modeling in various fields, including biophysics and systems biology.
Responsibilities
- Develop and implement novel algorithms for automated ODE structure identification and parameter estimation.
- Analyze and integrate various in vitro/in vivo data for model calibration and validation.
- Contribute to the development of an integrated framework for ODE modeling, including Bayesian parameter estimation and global sensitivity analysis.
Requirements
- Master's degree in mathematical biology, computational mathematics, biomedical engineering, or a related field.
- Excellent programming skills in languages such as Matlab, Python, or R.
- Strong background in numerical methods and machine learning.
- Excellent communication and teamwork skills.
What We Offer
- A highly collaborative and dynamic research environment at Maastricht University.
- Access to state-of-the-art computational infrastructure and resources.
- Support for conference travel and professional development opportunities.
- A competitive salary and benefits package.
How to Apply
Applicants should submit their CV, a cover letter outlining their research experience and interests, and contact information for two academic references to a.carlier@maastrichtuniversity.nl by November 24, 2024.
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