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context Geopolitics and religion: religious nationalism, religious aspects of migration and integration in a selected model territory Identity Formation of National Minorities in the Transforming Societies
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of Physical Chemistry of the Czech Academy of Sciences. The program covers computational chemistry, quantum chemistry, and molecular modeling, focusing on biomacromolecules and complex molecular systems
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Republic (www.fgu.cas.cz/en ) Funded PhD student positions are available at the Institute of Physiology CAS (IPHYS) in Prague in the Czech Republic in: NEUROSCIENCE METABOLISM CARDIOVASCULAR PHYSIOLOGY IPHYS is one
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 18 days ago
will focus on the rational design and synthesis of tailored chelating agents capable of selectively binding and recovering the corresponding metal ions from complex secondary and low-grade primary
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graduate of the doctoral study program in Demography will also find employment in scientific-research institutions dealing mainly with broad-based social development, ranging from sociological or economic
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multicomponent materials based on reducible oxides and metallic or bimetallic nanostructures and thin films. The applicant’s research will focus mainly on so-called model studies of such well-defined materials
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of the dissertation topics: 15. 2. 2026 Application by: 30. 4. 2026 Apply for this programme Detailed description of the programme Offer of dissertation topics: Clustering catchments based on runoff response
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cardiomyopathy. Due to the large size of full-length plectin, classical gene-replacement strategies are not feasible, necessitating alternative therapeutic approaches. This PhD project focuses on the development
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effects of species invasions along environmental gradients and their consequences for community- and ecosystem-level responses, using native and invasive freshwater snails as a model system. The project
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of dissertation topics: Developing Remote Sensing–Based Indicators of Landscape State and Change Using Data-Efficient Machine Learning Across Scales Profile of the graduate The graduates have deep theoretical