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- Adam Mickiewicz University, Poznań
- Institute of Mathematics of the Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Jagiellonian University
- 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
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Field
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- the eye - has evolved millions of years into one of the most advanced systems for imaging and analysing visual data. The eye also houses the most easily accessible part of the brain's neuronal network
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(scRNA-seq) • Perturb-seq (combining genetic perturbations with scRNA-seq) • Functional testing of beta cells • Advanced microscopic imaging and flow cytometry with imaging You don't need to know
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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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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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ecosystems in a human transformed landscape” funded by the National Science Centre. Principal Investigator: prof. dr hab. Andrzej M. Jagodziński Key words: hyperspectral imaging, laser scanning, remote sensing
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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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, 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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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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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