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Institute of Animal Reproduction and Food Research of Polish Academy of Sciences | Poland | 3 months ago
or current employer. Proof of research internship(s) abroad. Summary of the PhD thesis. Any other documents relevant for assessment. Selection process Applications will be evaluated according to NCN
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optimising membrane parameters. Laboratory experience in analytical techniques related to materials characterization and membrane processes application. Knowledge in environmental sampling and the impact of
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evaluation of RNA–protein complexes. Crystallographic or cryo-EM analysis (after training) of RNA–protein complexes. Processing and interpreting results, preparing summaries/reports, and scientific
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of the PhD diploma with supplements, • Contact details of an independent researcher for reference purposes. Selection process Documents should be sent electronically (message title ‘WR.110.K.1.2026’), in PDF
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). Internships and participation in research projects (10/100 points). Selection process Competition committee begins working no later than 14 days after the deadline for submission of documents. Formal evaluation
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Science Centre entitled "Research on the comprehensive use of phenolic-rich waste from agri-food processing to obtain nano-formulations with high bioactivity and bioavailability" (project number: 2021/43/B
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related to the characterization of obtained probes and bioconjugates. Eligibility criteria Information clause regarding the processing of personal data The controller of your data processed as part of
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process Candidates will be selected in an open competition, according to the procedure complying with the rules of the European Charter for Researchers and the Code of Conduct for the Recruitment
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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to independently plan and conduct experiments (turbulent flows). Knowledge of optical (PIV, LDA) and thermo-anemometric measurement techniques. Signal processing skills – spectral analysis, statistics, POD