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- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
- Biology Centre CAS
- Charles University
- MASARYK UNIVERSITY
- University of Pardubice
- Brno University of Technology, Central European Institute of Technology
- Institute of Biotechnology of the Czech Academy of Sciences
- Institute of Experimental Botany, The Academy of Sciences of the Czech Republic
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work
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of progressive methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning
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, microdissections, fluorescence microscopic methods, and knowledge of molecular methods and developmental biology and/or bioinformatics is a plus. Teamwork, enthusiasm, and excellent communication skills We offer
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plants. The aim of this project will be the development of methods for structural analysis of small molecules isolated from plants using the technique of crystalline sponge X-ray diffraction
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their potential application in the construction of functional prototypes of molecular machines. Emphasis will be placed on different combinations of photoswitches and the methods of their interconnection
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Spectroscopic methods, such as
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containing modifications at specific positions. Methods of gradual elongation of RNA primers with modified nucleotides and exchange of DNA templates will be developed for introduction of modifications
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with structural biology, biochemistry and molecular biology methods is a strong plus as well as programming skills Strong English language skills – both spoken and written Nice-to-have: Experience with
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. We developed methods for the rapid isolation and profiling of these organelles (e.g., Lyso-IP), and used them to deorphan the functions of disease-associated genes. Because mTORC1 senses nutrients, we
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of RHBDL2 in cellular and mouse models, which includes substrate identification by established proteomic methods. As part of this project, we will analyze the biophysical characteristics of RHBDL2 substrates