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- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
- MASARYK UNIVERSITY
- University of Ostrava
- CEITEC MU
- Charles University
- Charles University, Faculty of Science
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute of Physics of the Czech Academy of Sciences
- Masaryk University - Faculty of Arts
- Masaryk University - Faculty of Science – RECETOX
- The Institute of the Ethnology of the Czech Academy of Sciences
- UCT Prague
- University of West Bohemia
- VSB - Technical University of Ostrava
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experimental methods. Ability to predict service life and assess fatigue behavior of automotive components. Proven record of scientific publications (peer-reviewed journals with impact factor, international
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, interplay between delta subunit and sigma factors, interactions of a recently discovered transcription factor MoaB2 with mycobacterial sigma factors and RNA polymerases. Cryo-electron microscopy will be used
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on the development of new synthetic methods in organic chemistry. Currently, we study directed C−H functionalizations of alkanes and cycloalkanes utilizing insertion reactions of electron-deficient species and C−H
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10 of them related in the field of bioinformatics/genomics, at least five of them as the first or corresponding author, at least five papers in high-profile journals (the impact factor >8), H-index
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, and in scientific publications. Qualifications Master’s degree (or equivalent) in biophysics, biochemistry, molecular biology, physics, or a related field. Strong interest in method development
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an Impact Factor doctoral dissertation in an advanced stage of writing Up to 3x active participation in international conferences Where to apply E-mail kariera@fsv.cuni.cz Requirements Research
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the Ph.D. in anthropology or related disciplines Excellent skills in qualitative methods and ethnography. Proficiency in academic English, Czech language skills advantageous Personal background of migration
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support and become a key driver of innovation, excellence, and global research visibility. RESEARCH FOCUS 1. Quantitative Methods in Economics & Finance • Performance and stability analysis of firms and
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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is funded under Marie Sklodowska-Curie actions (HORIZON-MSCA-2024-DN-01-01). The successful applicant will develop a novel method enabling the estimation of the permittivity within protein channel