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- Faculty of Science, Charles University
- CEITEC MU
- Czech Technical University in Prague
- Institute of Molecular Genetics of the Czech Academy of Sciences
- Biology Centre CAS
- Brno University of Technology, Central European Institute of Technology
- Charles University, Faculty of Pharmacy in Hradec Kralove
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- Mikrobiologický ústav AV ČR, v.v.i.
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Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
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identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
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Scientism and its metaphysical implications The forms of interaction between magic and science in the Renaissance and Early Modern Period Profile of the graduate Graduates will acquire good general knowledge
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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
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An interdisciplinary approach Collaboration with the leading Czech company Contipro Funding secured for the full duration of the PhD studies Where to apply Website https://jobs.bc.cas.cz/en/detail/280 Requirements
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25 Feb 2026 Job Information Organisation/Company University of Ostrava Department Faculty of Science Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions PhD
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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, and ecological plant physiology. Students acquire advanced methodological approaches and participate in international scientific cooperation through scientific meetings and internships at foreign
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Endoreplication and Extreme GC-content Variation in Orchids The role of genome size and polyploidy in trait evolution and diversification of angiosperms Profile of the graduate Students will acquire knowledge in a
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Machine Learning. Profile of the graduate The graduate displays deep theoretical knowledge in molecular and cell biology, genetics and virology, with focus on some specific branch of these scientific fields