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ecosystem to better interpret the trophic relationships in fossil assemblages. Among novel approaches is the individual amino acid isotopic analysis for terrestrial paleoecosystems. Until now, only few
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? No Offer Description We are the Department of European Studies at Poznań University of Economics and Business, focusing on the analysis of socio-economic transformations in the European Union. We
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, Poland. The research is based on peat cores obtained from peatlands in Poland, Estonia and Norway. The successful candidate will be responsible for data analysis and article writing. Within the contract
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, protocol development, seminars, group meetings, and other activities of scientific exchange indispensable for the progress of the project. Analysis and interpretation of research results. Writing
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Journal of Laws of 2024, item 1571, as amended). Desirable (optional): experience in the structural analysis of liquid-crystalline systems by SAXS/WAXS; knowledge of chiroptical methods (circular dichroism
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synthesis, preparative chemistry) documented as co-authorship of publication(s) presenting this type of analysis; ▪ A track record of publications in JCR-listed journals and participation in scientific
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libraries for CRISPR-interference method, Transformant identification and validation, Investigation of the mechanism of action of the identified regulating factors, Experimental Data Analysis: Flow Cytometry
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). - Practical experience with cheminformatics tools, including molecular modeling software, and bioinformatics tools supporting experimental design, data analysis, and interpretation is required. - Strong
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working in the project. - analysis of the results and preparation of scientific publications Where to apply E-mail [email protected] Requirements Research FieldChemistry » OtherEducation LevelPhD
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 1 month ago
ATAC-seq, ChIP-seq, CUT&RUN, CUT&Tag, or related methodologies. Analysis or interpretation of transcriptomic, proteomic, epigenomic, or other multi-omics datasets. Quantitative fluorescence microscopy