Talent.com
Diese Stelle ist in deinem Land nicht verfügbar.
Student Research Assistant for Differential Equations Modeling of Liver Lipid Metabolism

Student Research Assistant for Differential Equations Modeling of Liver Lipid Metabolism

Uniklinik RWTH AachenAachen, North Rhine-Westphalia
Vor 30+ Tagen
Stellenbeschreibung

Key Responsibilities

  • 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

  • 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 :

  • 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 :

    Interested candidates should submit the following documents to or 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!