Mathematical Modeling Assistant for Liver Lipid Metabolism

vor 2 Wochen


Aachen, Nordrhein-Westfalen, Deutschland Uniklinik RWTH Aachen Vollzeit
Key Responsibilities

We are seeking a highly motivated and skilled Mathematical Modeling Assistant to join our research team at Uniklinik RWTH Aachen. The successful candidate will work on developing and implementing mathematical models using ordinary differential equations to simulate liver lipid metabolism.

  • Develop and implement mathematical models using ordinary differential equations to simulate liver lipid metabolism.
  • Analyze the model dynamics using appropriate numerical methods and software tools.
  • Collaborate with the research team to integrate experimental data into the models and validate model predictions.
  • Perform sensitivity analysis and parameter estimation to refine model accuracy.
  • Document and report modeling methods, assumptions, and results clearly and accurately.
  • Participate in regular team meetings and contribute to ongoing research discussions.
Qualifications

To be successful in this role, you will need to have:

  • A strong background in mathematics, computational biology, bioinformatics, biophysics, or a related field.
  • Excellent analytical and mathematical skills, with knowledge in ordinary differential equations / dynamical systems.
  • Experience with mathematical modeling software such as MATLAB, python or R.
  • A basic understanding of biological systems and liver lipid metabolism.
  • The ability to work independently and as part of a team.
  • Good communication skills, both written and verbal.
Benefits

As a member of our research team, you will have the opportunity to:

  • Gain practical experience in mathematical modeling and computational biology.
  • Work in a dynamic and collaborative environment.
  • Contribute to scientific publications and presentations.
Application Process

If you are interested in this exciting opportunity, please submit the following documents to us by 01 of August 2024:

  • A cover letter detailing your interest in the position and relevant experience.
  • A current CV/resume.
  • Academic transcripts (unofficial copies are acceptable).
  • Contact information for two academic or professional references.

We look forward to receiving your application and exploring the potential for you to join our research team.



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