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- InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS)
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- Nicolaus Copernicus University in Torun
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Education and Science (Journal of Laws of 2018, item 1668) and the following eligibility criteria: specialization in environmental and economic history of Greater Poland (optional) and the Polish-Lithuanian
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their derivatives against core components of the NMD surveillance pathway. Develop and implement Cellular Thermal Shift Assays (CETSA) to validate direct ligand binding to endogenous or overexpressed
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21 Aug 2026 Job Information Organisation/Company Poznan University of Physical Education, POLAND Research Field Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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the competition: Fulfill the requirements set out in Article 113 of the Law on Higher Education and Science (Journal of Laws of 2024, item 1571, consolidated text); A PhD degree in biological sciences or a related
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 8 days ago
and zootechnical data. Statistical and bioinformatic analysis of data and identification of potential biomarkers associated with reproduction and gamete quality. Preparation and dissemination
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set out in Articles 113 and 116.2.3) of the Act of 20 July 2018 – Law on Higher Education and Science, and who meet the following eligibility criteria according to § 165 of the Statute
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
English. 6. Proficiency in Microsoft Office and experience with statistical software. 7. Knowledge of bioinformatics tools and functional analysis software will be an additional asset 8. Independence
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi