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- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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Field
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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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-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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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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fundamentals, including image processing, pattern recognition, and 3D geometry (share your GitHub profile) LanguagesENGLISHLevelExcellent Research FieldEngineering » Computer engineeringYears of Research
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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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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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Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Experience in constructing optical systems for eye imaging, preferably with visual stimulation
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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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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
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conducting excellent research within the scientific project “PACIS: Precision and Accuracy for Cosmological Imaging Surveys”, based on grant agreement UMO-2020/38/E/ST9/00395, funded by the National Science