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- Adam Mickiewicz University, Poznań
- Institute of Mathematics of the Polish Academy of Sciences
- AGH University of Krakow
- Institute of Dendrology, Polish Academy of Sciences
- Institute of Medical Biology Polish Academy of Sciences
- Institute of Nuclear Physics Polish Academy of Sciences
- International Institute of Molecular and Cell Biology in Warsaw
- Jagiellonian University
- Nencki Institute of Experimental Biology
- Polish Academy of Sciences Institute of Medical Biology
- Sano Centre for Computational Personalized Medicine
- Space Research Centre Polish Academy of Sciences
- University of Agriculture in Krakow
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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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techniques (in particular gas physisorption) and material imaging (optical microscopy, SEM, EDS). 5) knowledge of English at least at B2 level or equivalent, 6) creative approach to problem solving, ability
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assays High-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership
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-on experience in advanced and multidisciplinary techniques, including: CRISPR-Cas9 genome editing and functional genomics Proteomics, DNA pull-downs, and molecular assays High-resolution cell imaging and
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, RNA sequencing at the single-cell level, Perturb-seq, functional tests of beta cells, and advanced microscopic imaging and flow cytometry with imaging. Mastery of all these techniques is not required
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efficiency using Raman spectroscopy, FTIR, and UV-vis methods, and rheology. Experience in the field of cells culture and molecular biology (Western Blot) as well as immunocytochemistry anc confocal imaging
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journals and conference proceedings; experience in conducting research on image processing using deep neural networks; knowledge of methods of statistical data analysis; ability to work with large data sets