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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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in vivo PD models (α-Syn oligomer injection, behavioral testing, MRI) and in vitro studies (primary neuronal cultures, molecular and imaging techniques), we will dissect the role of P2X7R in: oxidative
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. • Excellent data analysis and visualization skills. The candidate is expected to be proficient in advanced data analysis and image processing tools such as MATLAB and DaVis and capable of handling large
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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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, 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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sequencing, proteomics and lipidomics, functional assays, and microscopic imaging. Mastering all of these techniques is not necessary, as the project will be carried out in collaboration; however, there is an
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to the digitization of biological samples, their documentation, and the integration of modern technological solutions. Key responsibilities include receiving, preparing, and processing biological samples, digital
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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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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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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month 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