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25 Aug 2025 Job Information Organisation/Company Institute of Nuclear Physics Polish Academy of Sciences Department Department of Magnetic Resonance Imaging /NZ56/ Research Field Physics Researcher
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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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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
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, theses, projects or speeches: (1) Databases in Biology and Medicine, and (2) Digital Image Processing (medical). Certificate Cisco IT Essentials 5.0 Certificate Professional experience in conducting
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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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experience in a research group, and independence Skills in writing scientific text in plant biology, fluency in both standard office software and specialized tools for image analysis, creation and processing
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | 20 days ago
are processed during the recruitment process: first name(s) and surname, image, names of parents, date of birth, place of residence (correspondence address), education, other personal details of the employee
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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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include leading laboratory classes in various study programs at SGGW, mainly in Polish, in courses offered by the Department of Nanobiotechnology in the fields of cell biology, biological image analysis
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utilizing tools based 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