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- Łukasiewicz Research Network - Krakow Institute of Technology
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
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Field
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, atmosphere/ocean sciences, computational life sciences, mathematical biology, mathematical economics, medical and seismic imaging, theoretical computer science, and theoretical physics. We participate in
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the SmartWheat project. Plan, organize, and conduct field trials and summer field activities in collaboration with the project management team. Develop pipelines for processing and analyzing large-scale UAV-based
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processing. Experience in cell culture, primary cultures and advanced imaging techniques Experience handling biological sample repositories and experimental data management Publications: At least 1 first
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-of-the-art biophysical methods (microscopy, spectroscopy, live cell imaging, nanotechnology and neutron and X-ray scattering) to address cutting-edge questions in biology and meet medical challenges. Our joint
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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The Łukasiewicz Research Network – Krakow Institute of Technology (https://kit.lukasiewicz.gov.pl/ ) is a member of the Łukasiewicz Research Network (https://lukasiewicz.gov.pl/en/ ), one of the largest scientific
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encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University (https://www.uu.nl/en/organisation/working-at-utrecht-university
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that subsequently recruit decay factors. In our lab, we investigate a distinct, newly emerging paradigm of gene regulation termed “peptide-mediated mRNA decay” (PMD). In PMD, not the mRNA sequence but rather
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information at https://profiles.wustl.edu/en/persons/jaebok-choi/ and https://oncology.wustl.edu/people/jaebok-choi-phd/ . Trains under the supervision of a faculty mentor including (but not limited
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English