PhD program
Applied Biophysics

Applied Biophysics

QUALIFICATION

  • Scientific and pedagogical direction - Doctor of Philosophy (PhD)

MODEL OF GRADUATING STUDENT

1. Demonstrate a comprehensive knowledge of current advances and challenges in applied biophysics, including the development of new theories and models;
2. Interpret the knowledge obtained when substantiating the development of new theoretical models and methods that are of significant importance for the development of applied biophysics and related fields;
3. To substantiate the principles and methods of applied areas of independent research aimed at identifying new patterns and developing innovative approaches in applied biophysics;
4. Substantiate the theoretical foundations of data analysis and interpretation based on integrated approaches, including mathematical modeling and experimental methods;
5. Discussion and integration of interdisciplinary knowledge in solving the development of algorithms for automating the processes of setting up and diagnosing electronic medical equipment, reducing the probability of errors and improving work efficiency;
6. Conduct independent fundamental research in the field of applied biophysics, formulate and solve high-level scientific problems;
7. Conduct comprehensive research and develop fundamental theoretical foundations for the integration of interdisciplinary knowledge to solve biophysical problems associated with disorders of the physiological functions of the body and the risk of pathogenesis;
8. To prepare and train scientific personnel, passing on their knowledge and experience to the younger generation of scientists, and also to publish research results in leading international scientific journals with a high impact factor;
9. Formulate and substantiate conceptual approaches to forecasting complex biophysical processes, develop original innovative methods of data analysis and interpretation to support critical management decisions in interdisciplinary scientific and applied contexts;
10. Formulate original scientific judgments and conceptual positions in relation to complex and poorly studied manifestations of biophysical processes, integrating the results of his own research and modern scientific approaches for the development of scientific schools and management strategies in the scientific and practical sphere.

Program passport

Speciality Name
Applied Biophysics
Speciality Code
8D05088(1)
Faculty
Biology and Biotechnology

disciplines

disciplines

Biophysics of biological tissues and fluids
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The goal is a deep study of the biophysical characteristics of biological tissues and fluids, mechanical, electrical properties, interaction with internal and external factors. The course examines methods of research, modeling of biophysical processes, mechanics, electrophysiology, molecular biophysics, discusses fundamental aspects that allow us to understand the complex relationships between the structural and functional properties of biological systems at various levels of organization.

Digital processing and visualization of experimental data
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The goal is to develop competencies in the field of digital processing and visualization of experimental data, mastering methods of analysis, identifying hidden patterns and interpreting results. Students acquire skills in using modern tools and methodologies to transform data into visual graphic materials that contribute to a deeper understanding of the phenomena under study.

Kinetics of biological processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The goal is an in-depth study of the kinetic laws of biological processes, including a detailed analysis of the rate of biochemical reactions, mechanisms of their regulation and mathematical modeling of the dynamics of changes in biological systems. The course covers topics from the molecular dynamics of enzymes to complex networks of interactions in living organisms, necessary for understanding and predicting the behavior of biological systems under various conditions.

Machine learning in biophysics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Machine learning in the context of biophysics is an interdisciplinary field that integrates advanced artificial intelligence methods with fundamental principles of biology and physics to analyze and interpret complex biological data. This course provides a detailed examination of key machine learning algorithms and their practical application in solving specific problems in biophysics.

Data for 2023-2026 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description -

Research
  • Type of control - Защита практики
  • Description -

Data for 2023-2026 years