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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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on knowledge retrieval and interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as
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decide the fate of their RNAs - whether to translate, store, or degrade them. Using biochemical reconstitution, fluorescent labeling, and single-molecule imaging, you will explore how molecular machines
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neurobiology research, Can independently design and conduct experiments, analyze and interpret results, Experience working with laboratory animals, Electrophysiology, Two-photon imaging, Live/in vivo imaging
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-of-the-art scientific project, • the possibility of professional development in an international expert environment, • access to specialized training in the field of film deposition, spectroscopic imaging and
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- the eye - has evolved millions of years into one of the most advanced systems for imaging and analysing visual data. The eye also houses the most easily accessible part of the brain's neuronal network
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report research as a member of a research group in the field of of medical data archiving methods and medical imaging methods and to conduct lectures and laboratory exercises for students of biomedical
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fundamentals, including image processing, pattern recognition, and 3D geometry (share your GitHub profile) LanguagesENGLISHLevelExcellent Research FieldEngineering » Computer engineeringYears of Research
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in
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analysis. Characterize cytoskeletal, mitochondrial, and metabolic changes in quiescent cells. Conduct live-cell imaging experiments to monitor quiescent cell aging and reactivation dynamics. Investigate
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monitoring. Proficiency in advanced visualization methods such as shadowgraphy, wire mesh sensors, high-speed imaging, and gas analysis tools is also expected. • Computational and Numerical Modeling: A strong