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of English at least at a communicative level. Knowledge of immunohistochemical techniques and digital image analysis is an advantage Additional Information Additional comments We offer: Fixed-term employment
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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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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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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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of the Penal Code, Articles 189a and 207 of the Penal Code, and in the Act of 29 July 2005 on Counteracting Drug Addiction (Journal of Laws 2023, item 1939), as well as for acts equivalent to these offenses
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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
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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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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
awarded by the European Commission to institutions implementing the principles of the "European Charter for Researchers" and the "Code of Conduct for the Recruitment of Researchers." Where to apply E-mail
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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