Mathematical Modeling in Biology: Integrating Experimental and Computational Approaches
Explore the integration of mathematical models with experimental in vitro biology data. Choose applications in virology or pharmacology while working in a collaborative and interdisciplinary environment at Charles University.
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Project Description
Project Overview
This project focuses on developing and optimizing mathematical models to describe in vitro biological processes, integrating high-resolution experimental data. It is part of the New Technologies for Translational Research in Pharmaceutical Sciences (NETPHARM) project, driven by the goal to enhance understanding of biological systems relevant in pharmaceutical sciences, particularly in virology or pharmacology applications.
What You Will Do
The PhD candidate will work within the Mathematical Pharmacy research group at Charles University. Tasks include modeling biological data, programming in MATLAB, Python, or R, and collaborating closely with experimentalists to validate and refine models. The student will select a specific application field—either virology or pharmacology—tailoring the modeling approach accordingly.
Expected Outcomes
The research aims to deliver innovative mathematical frameworks that improve the interpretation of in vitro biological data, supporting advances in drug development and experimental design. Outcomes include published research, improved predictive models for biological phenomena, and interdisciplinary skills in applied mathematics and biology.
Why This Matters
Mathematical modeling is essential for translating complex biological data into actionable scientific knowledge. Enhancing model fidelity through experimental integration can accelerate pharmaceutical innovation, improve understanding of infections and drug mechanisms, and contribute to public health solutions.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr. Veronika Bernhauerová is a leading researcher at the Department of Biophysics and Physical Chemistry, Faculty of Pharmacy, Charles University. Her expertise spans theoretical ecology, virus dynamics, quantitative pharmacology, and bioinformatics. She applies mathematical modeling to understand viral infections and host-pathogen interactions with an emphasis on experimental integration and translational relevance.