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specialized software for image processing and modelling. Additionally, the candidate should demonstrate an ability to work collaboratively within a research team, as well as effectively communicate
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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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imaging Analyze complex datasets (kinetics, FRET traces, colocalization) Initiate and drive new subprojects Mentor PhD students and collaborate closely within the group and with partners abroad Present
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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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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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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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Opus Requirements: Holds a doctoral degree (PhD), obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Has worked in at least one research
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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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. • 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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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | 20 days ago
(Journal of Laws 2018.917). The following personal data are processed during the recruitment process: first name(s) and surname, image, names of parents, date of birth, place of residence (correspondence