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for emissions and noise models for further research projects, • prepare input data (2D, 3D) for environmental modeling in transportation, • work with the 3D Analyst, Network Analyst, and other extensions
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Translational Impact Contribute to the design and development of applied and digital solutions (screening, prevention, e-health, IT tools). Prepare data and technical documentation for application development in
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The Department of Biological Models focuses on the development and testing of promising polymer conjugates and proteins (therapeutics) suitable for the treatment of tumors, resistance to tumor therapy, and
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engineering Additional Information Benefits • A wide range of opportunities for continuing professional development (internships abroad, courses, seminars, conferences); we’ll give you the opportunity
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, Master's, and doctoral) and participating in their development Direction and implementation of research, grant activities, and publication strategies Internationalisation, promotion and presentation
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the framework of sustainable development. The members of the department guarantee both Bachelor's and Master's degree programs in Agroecology. The research priorities of the department include examining
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The Czech Centre for Phenogenomics at the Institute of Molecular Genetics | Czech | about 2 months ago
, https://www.phenogenomics.cz/ ), a large research infrastructure at the Institute of Molecular Genetics of the Czech Academy of Sciences and an active member of the IMPC and INFRAFRONTIER research
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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of the department’s teaching activities. Participation in publication activities, especially for educational purposes. Research Participation in research, development, and innovation activities, in
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 3 months ago
cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop rapid, generally applicable workflows