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!