Student Research Assistant for Mathematical Modeling of Liver Lipid Metabolism

vor 2 Wochen


Aachen, Nordrhein-Westfalen, Deutschland Uniklinik RWTH Aachen Vollzeit

Key Responsibilities

  • Develop and implement mathematical models using ordinary differential equations to simulate liver lipid metabolism and dynamics.
  • Analyze the model dynamics using appropriate numerical methods and software tools, such as MATLAB, Python, or R.
  • Collaborate with the research team to integrate experimental data into the models and validate model predictions, ensuring accurate and reliable results.
  • Perform sensitivity analysis and parameter estimation to refine model accuracy and improve predictions.
  • Document and report modeling methods, assumptions, and results clearly and accurately, using proper scientific notation and formatting.
  • Participate in regular team meetings and contribute to ongoing research discussions, sharing knowledge and expertise.

Qualifications

  • Currently enrolled in a Bachelor's or Master's program in Mathematics, Computational Biology, Bioinformatics, Biophysics, or a related field, with a strong foundation in mathematical modeling and computational methods.
  • Strong analytical and mathematical skills, with knowledge in ordinary differential equations and dynamical systems.
  • Experience with mathematical modeling software, such as MATLAB, Python, or R, and a basic understanding of biological systems and liver lipid metabolism.
  • Ability to work independently and as part of a team, with good communication skills, both written and verbal.
  • Prior experience with computational biology or biostatistics is a plus, but not required.

Benefits

  • Gain practical experience in mathematical modeling and computational biology, working on real-world projects and contributing to scientific publications and presentations.
  • Flexible working hours to accommodate academic commitments, allowing for a healthy work-life balance.
  • Possibility to contribute to scientific publications and presentations, showcasing research findings and expertise.

Application Process

Interested candidates should submit the following documents to Uniklinik RWTH Aachen by August 1, 2024:

  • A cover letter detailing your interest in the position and relevant experience.
  • A current CV/resume, highlighting your academic and professional background.
  • 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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