20 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions in Poland
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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of High Pressure Physics, Polish Academy of Sciences
- University of Warsaw
- AGH University of Krakow
- Center for Theoretical Physics PAS
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Geological Sciences, Polish Academy of Sciences
- Institute of Plant Genetics PAS
- Jagiellonian University
- Kozminski University
- Lodz University of Technology
- Nencki Institute of Experimental Biology PAS
- Uniwersytet Warszawski
- Warsaw University of Technology - Centre for Credible AI
- Wrocław University of Science and Technology
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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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 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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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
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
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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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conferences. The main tasks will include: designing and implementing methods for generating synthetic data aimed at diagnosing limitations, biases and errors in AI models; developing and testing strategies
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of Warsaw. Laboratory: Biomolecular Machines Laboratory Project leader: Dr Monika Wojciechowska Project title: Development of new antibacterial agents based on lytic enzymes produced by bacteriophages
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superconductivity and to advance the development of applied superconducting technologies. This PhD project aims to develop and investigate novel iron-based superconducting thin films synthesized through a combination