Mathematical Modeling Research Assistant for Liver Lipid Metabolism

vor 1 Monat

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

We are seeking a highly motivated and skilled Research Assistant to join our team at Uniklinik RWTH Aachen. The successful candidate will be responsible for developing and implementing mathematical models using ordinary differential equations to simulate liver lipid metabolism.

  • Develop and implement mathematical models to simulate liver lipid metabolism.
  • Analyze model dynamics using 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, or a related field. You should also have experience with mathematical modeling software such as MATLAB, Python, or R.

  • Currently enrolled in a Bachelor's or Master's program in Mathematics, Computational Biology, Bioinformatics, Biophysics, or a related field.
  • Strong analytical and mathematical skills, knowledge in ordinary differential equations / dynamical systems is beneficial.
  • Experience with mathematical modeling software such as MATLAB, Python, or R.
  • Basic understanding of biological systems and liver lipid metabolism is a plus.
  • Ability to work independently and as part of a team.
  • Good communication skills, both written and verbal.
  • Prior experience with computational biology or biostatistics is a plus.
Benefits

This is an excellent opportunity to gain practical experience in mathematical modeling and computational biology. You will have the chance to work on a challenging project and contribute to the development of new knowledge in the field.

  • Gain practical experience in mathematical modeling and computational biology.
  • Flexible working hours to accommodate academic commitments.
  • Possibility to contribute to scientific publications and presentations.
Application Process

If you are interested in this opportunity, please submit the following documents to us by August 1, 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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