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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project
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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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techniques to effectively separate target components from complex matrices using magnetic field. Monitor ongoing experiments and adjust settings as needed. Maintain high standards and quality in laboratory
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its first targeted research projects around: Metallurgy & anti-corrosion materials Phosphates, intelligent fertilizers, silicon, and fluoride-based materials Energy storage (Electrolytes, Electrodes
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still incomplete, representing a hurdle to developing new therapeutic strategies. To find novel therapeutic targets of drug-resistant bacteria, in our investigation, we apply OMICS approaches to study the
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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targeted catchments. Contribute to writing comprehensive reports encompassing detailed analyses and conclusive results. Communicate findings through the publication of peer-reviewed papers, presentations
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critical biomolecules involved in this process, making anti-angiogenic treatments a promising cancer therapy strategy. Common treatments include monoclonal antibodies and tyrosine kinase inhibitors targeting
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magnetic/electromagnetic separation experiments with precision and accuracy, Utilize advanced methodologies and techniques to effectively separate target components from complex matrices using magnetic field