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substrate–catalyst–conditions combinations). The resulting experimental dataset on catalyst activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate
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of protein dynamics. Combining both approaches will provide a comprehensive description of the chloride transport mechanism. Comparison with related halorhodopsins will allow insights into evolutionary
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on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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journals listed in the Journal Citation Reports (JCR), with a total Impact Factor (IF) of no less than 20, at least 5 JCR-indexed articles published within the last 5 years, with a combined IF of not less
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time-resolved transcriptomics, interactome mapping, and single-molecule biophysics, we will dissect the molecular arms race between phages and A. baumannii. This integrated strategy combines RNA-Seq
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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– Life Sciences & Biotechnology Center, Materials Science & Engineering Center and Center for Population Diagnostics, with access to specialized core laboratories – a combination, which allows to carry
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neurophysiological methods. We will use an innovative combination of in vivo optogenetics targeting activated cells, fluorescent tracers, advanced immunohistological and molecular imaging techniques, fiber photometry
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journals from the JCR list. Fluency in spoken and written English. Specific Requirements Practical experience in working with liquid chromatography in combination with mass spectrometry. Practical experience