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- Centre for Genomic Regulation
- Faculty of Science, Charles University
- George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
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différents polymorphes cristallins d'un même principe actif conduisent souvent à des propriétés différentes en termes de stabilités physico-chimiques, solubilité, taux de dissolution, biodisponibilité et donc
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, composition of the human body, biological properties, and the influence of environmental factors on humans. Molecular genetic studies include analyses of receptor genes and genetic polymorphisms in variable
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themselves having the wrong conformations or crystallising in a competing crystal polymorph, is a much broader phenomenon. On the theoretical side of the project, we aim to construct a new kinetic framework of
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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memory, which is a vital mechanism for plant resilience. The aim is to understand the role of naturally occurring short tandem repeat polymorphisms in regulatory regions of heat stress memory genes, and
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the brain. The key objective is to support efforts to identify how these interactions contribute to neurological disorders and to discover potential therapeutic targets. For more details, please view https
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Apply for this programme Detailed information about the study programme Offer of dissertation topics: Cardiac regeneration in reptiles in phylogenesis and ontogenesis Color polymorphism in ship rats
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are also interested in mutation rates and selection inference in the context of human genetic variation, including from single-nucleotide polymorphisms (https://www.nature.com/articles/s41467-025-66201-0
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studying mutation rates and selection in the context of human germline variation. This includes analysis of both polymorphisms (Nature Communications, 2025 ; Nature Genetics, 2017 ; Molecular Biology and
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competitive ERC. The project focuses on the development of a first-principles, machine-learning-accelerated computational framework for modelling polymorphism, anharmonicity, and electron–phonon interactions in