VSB - Technical University of Ostrava

PhD in Bioinformatics and Computational Biology

• Advanced Data Analysis
• Advanced Statistics for Bioinformatics
• Central Dogma of Molecular Biology
• Methodology for the Evaluation of Experimental Biomedical Data

Hard Skills

• Software development
• HPC programming
• Data analysis
• Algorithms and data structures
• Parallel data processing
• Process analysis

Study aims

The aim of the study is to educate experts with interdisciplinary domain knowledge of natural and medical sciences and informatics with an emphasis on practical experience and skills necessary for bioinformatics analysis of various types of large and small data sets, and knowledge extraction from data and database systems. Graduates will be theoretically and experimentally prepared to be able to perform independent research work involving stages from the acquisition of large and small data sets (laboratory, clinical) to their professional bioinformatics and statistics analysis and interpretation. The study of this program allows direct output into practice. Graduates can find job positions in the field of basic research as well as in the field of industrial research and experimental development and can find positions not only in research institutions and universities of biomedical specialization but also in private pharmaceutical and diagnostic companies.

Graduate's knowledge

The graduate has a professional overview across the multidisciplinary areas of Biology and Informatics, in a breadth and depth exceeding the level of the master's degree student at the Faculty of Medicine or the Faculty of Informatics. Theoretical knowledge of basic disciplines (e.g. statistics, data analysis, informatics, etc.) are deepened so that they are directly applicable to applied and basic research in the chosen field. The student has deep theoretical and practical knowledge, especially in the field of bio-medical data processing. Understands the scientific methods used in his field of focus and is able to apply them independently.

Graduate's skills

The students can design new, effective, and well-theoretically substantiated solutions based on original ideas that are accepted by the international scientific and professional community. The students can implement, evaluate, and compare even very complicated existing procedures, they can solve interdisciplinary problems requiring knowledge from multiple interconnected domains, especially medicine, biology, and informatics. They can anticipate trends in his field and propose solutions to problems from the position of a team leader. They can choose appropriate procedures and appropriate technologies, based on the use of the latest knowledge. Finally, they can independently prepare extensive professional texts in a foreign language, especially in English, presenting specific procedures for solving practical tasks, and they are able to defend the proposed solutions in a professional discussion at the international level.

Graduate's general competence

The graduate can use a scientific approach to problem-solving, set goals, determine strategies, choose theoretical starting points, choose alternative solutions, and communicate with people in solving problems, such as managing the work of a team of solvers, presenting and defending their views and solutions in an international forum. The student can communicate with top experts in the field in a foreign language, especially in English, popularize their field, influence developments in their field, take responsibility for their decisions and teamwork, and take into account the social impact of decisions made.

Graduate's employment

Graduates will be prepared to perform their profession in medical facilities of higher types, in laboratories performing analysis of biological samples, in the academic sphere, in other institutions dealing with science, research, development, and innovation, in specialized laboratories, in the application sphere, in the pharmaceutical industry, in the purely commercial sphere, and in state administration. They can find positions in teams dealing with the analysis of medical and biomedical data, and in solving new tasks as leaders of research teams or researchers.