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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of High Pressure Physics, Polish Academy of Sciences
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- Medical University of Lublin
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- Intercollegiate Faculty of Biotechnology UG&MUG (Dean)
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- Warsaw University of Technology - Centre for Credible AI
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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related to human health, disease pathogenesis, and development of new therapeutic approaches. This idea emerged from the observation that although the significance of the p53 tumor suppressor protein in
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annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation
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. The group's task will be to develop this topic in collaboration with a partner laboratories at the National Institute of Oncology in Gliwice (Prof. dr. hab. Tomasz Cichoń) and at the St. Jude Children's
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December 2025. Responsibilities: 1. Concept development and experimental design 2. Research implementation and coordination 3. Critical thinking and data analysis 4. Reading and assessing scientific
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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currently deposited at Zenodo. We will re-annotate the proteins to comprehend the underpinnings of fungal ecology and adaptability. The project will integrate information on the evolution of Mortierellomycota
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, SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish
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ophthalmoscopy employing femtosecond laser sources. This technique offers new opportunities for early diagnosis of retinal diseases and for testing innovative gene therapies. Within the project, we will develop
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ophthalmoscopy employing femtosecond laser sources. This technique offers new opportunities for early diagnosis of retinal diseases and for testing innovative gene therapies. Within the project, we will develop
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the mechanisms and develop innovative therapies and diagnostic methods for cancer, diabetes, neurodegenerative diseases, neurological disorders and other civilization diseases. In addition to basic biological