Head of the master program: Ustinin Mikhail Nikolaevich, professor, doctor of physical and mathematical sciences.
The main objective of the master educational program is training of specialists, owning modern methods of mathematics and informatics in relation to biological sciences. Possession of these methods is necessary for the researcher of applied and fundamental problems of mathematical (theoretical) biology in the most various areas from quantum and molecular biology to ecology, biotechnology and bioengineering for construction and the analysis of models of the difficult nonlinear objects of the different nature having a uniform mathematical basis.
Such author’s special courses as are interesting: “Nonlinear phenomena in mesoscopic biosystems”; “Mathematical models in biology”; Makrodinamika; “Modeling of molecular dynamics”; “Analysis of primary structures of biopolymers”; “Self-organization of biological systems”; “The generalized spectral and analytical method” which are developed and is realized by scientific and pedagogical employees of Institute of mathematical problems of biology of Russian Academy of Sciences among whom there are 3 doctors of physical and mathematical sciences, 6 candidates physical and mathematical and 2 Candidates of Biology.
The gained knowledge and unique experience do graduates by competitive shots for work in the research and knowledge-intensive organizations.
Scientific topics are represented by the following areas:
– study of nonlinear models of self-trapped states in condensed media;
– simulation modeling of the dynamics of biomolecular systems;
– asymptotic methods and numerical modeling in the study of excitation waves;
– methods of analysis of dynamic systems;
– methods for assessing the biodiversity of vegetation cover;
– bifurcations in differential equations describing systems with symmetries;
– bifurcations in functional differential equations;
– neural network models of information processing in brain structures;
– growing random graphs and their applications in mathematical neurobiology;
– development of algorithms and programs for studying genomic sequences: recognition of coding regions and areas of homogeneity;
– computer methods for studying the primary structures of biopolymers;
– development of new methods for comparing biopolymers and their application to recognition of the type of spatial structure of proteins;
– mathematical models in biomechanics;
– creation of new methods for decoding the structure of complexes of biological macromolecules based on data on scattering of X-rays and neutrons;
– numerical and analytical methods for processing data from biological experiments;
– development of methods for obtaining, processing and analyzing digital images in biology and medicine;
– study of models of voltage-dependent ion channels of excitable biomembranes;
– analytical solutions of integro-differential equations;
– mathematical and cartographic modeling of the relief.
The faculty prepares masters (2 years of study) in the direction 01.04.02 Applied Mathematics and Informatics
Profile Mathematical modeling
The program is aimed at the practical use of knowledge in the field of applied mathematics and computer science.
Undergraduates study disciplines of the profile “Mathematical modeling”: macroanalysis, generalized spectral-analytical method, computer technology and mathematics, mathematical methods of biological crystallography, nonlinear phenomena in mesoscopic biosystems, molecular dynamics modeling, the art of molecular dynamics modeling.
In the future, masters will be able to study mathematical modeling methods, automated systems and information processing tools, apply in practice solutions to applied problems in the field of biology, chemistry and physics, study and develop digital image processing systems, and much more.
Place of practice and implementation of R&D and R&D: On the basis of a network partnership with the Institute of Mathematical Problems of Biology, Russian Academy of Sciences.
Employment of graduates: the faculty prepares specialists for research institutes and universities, medical institutes and institutions, industry, including pharmaceutical and biotechnical industries. The interdisciplinarity of the program allows graduates to choose a further direction of professional development among many options. One of them may be the development of a scientific career. In scientific and scientific-technical laboratories, research groups and biomedical institutions, there is a constant demand for specialists in computational biology and bioinformatics. Another area of development could be working in the industry. Biotech companies are constantly on the lookout for specialists in computational biology. For example, there is currently a strong demand among commercial companies and laboratories for specialists in the processing of high-throughput sequencing and microarray data.
Prospects: Due to the large-scale development of technologies in the field of the sciences of living systems, modern biology accumulates huge amounts of data every year. To process them, you need to have a good command of computer methods and special algorithms. In view of this, the demand for specialists capable of using the mathematical apparatus for solving biological and medical problems is growing every year.
The area of professional activity of graduates who have mastered the postgraduate program in the direction of 09.06.01 includes the spheres of science, technology, technology and pedagogy, covering the totality of tasks of the direction of Informatics and computing, including the development of theory, creation, implementation and operation of promising computer systems, networks and complexes, mathematical and software.
The objects of professional activity of graduates who have mastered the postgraduate program in the direction of 09.06.01 are:
– the chosen area of scientific knowledge, as well as scientific tasks of an interdisciplinary nature, including: computers, complexes, systems and networks;
– software for computer equipment and automated systems (programs, software complexes and systems);
– mathematical, informational, technical, linguistic, software, ergonomic, organizational and legal support of automated information, computing, design and control systems;
– high-performance computing and supercomputer technology;
– technologies for the development of computer hardware and software products.