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The aim of the project is to theoretically model the evolution of gene regulation taking into account stochastic gene expression.

Theoretical modeling (analytical and numerical calculations, simulations) within the project's tasks:

• Study of the evolution of gene regulation in a static fitness landscape for the stochastic model of gene expression with a self-regulated regulatory gene
• Study of the evolution of gene regulation in a switching fitness landscape

Possibility of publication of research papers in recognized international journals. Possibility of preparing an M. Sc. thesis.

The successful candidate will be part of a highly experienced, multi-disciplinary team. She/He will have the possibility to broaden their knowledge and gain hands-on experience in research at the border between biology, physics, and applied mathematics.

Institute provides an opportunity to participate in ERASMUS+ programme.

1. The candidate shall be a student of intramural or  extramural second  degree studies, or should be a  student of at least the  fourth year of  intramural or  extramural uniform  master’s studies.

2. The candidate shall be a student of  physics, informatics, bioinformatics, mathematics, or related disciplines.

3. The candidate shall have:

a) Good knowledge of calculus and programming. Knowledge Python or C++ or symbolic algebra software will be an asset. Depending on the educational background, the knowledge of fundamentals of chemistry or physics, at the academic level.

b) Good command of English.

• Scientific achievements of a young scientist, including publications in reputable publishing houses / scientific journals journals (50% of final grade);
• Awards resulting from conducting scientific research, scholarships, awards and scientific experience gained outside the parent research unit in the country or abroad, workshops and scientific training, participation in research projects journals (50% of final grade);