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Employer
- 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)
- Jagiellonian University
- Medical University of Lublin
- Nencki Institute of Experimental Biology
- Nicolaus Copernicus University in Torun
- Poznan University of Physical Education, POLAND
- University of Gdansk
- University of Warsaw, Faculty of Biology
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Field
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Commonwealth (required), teamwork skills, ability to work with statistical software and GIS (optional) Specific Requirements Documents required: - Application - Personal questionnaire for the person applying
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. Formulate dose-response metrics, perform advanced statistical data analysis, and visualize biological data for presentation to cross-functional teams. Publishing the obtained results in scientific journals
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data
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microscopy, cell culture) and molecular biology techniques (e.g. RT-qPCR, Western blot), as well as statistical analysis methods; Good command of English (spoken and written). In addition, we expect: A
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 13 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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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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, documentation and archiving of data in line with FAIR principles and the data-management plan. Advanced statistical analyses, basic programming skills, working knowledge of R. Willingness to implement and further
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institution. · Good practical and theoretical knowledge of MRI imaging techniques · Experience in conducting research on a high-field system · Previous experience in the application of statistical methods
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not earlier than 7 years before the year of employment in the project (not including maternity leaves), • Strong MATLAB and/or Python programing skills – signal analysis, statistics, neuronal
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-omics data (metagenomics, metabolomics, immunophenotyping data). Strong background in machine learning and statistical modeling, preferably in biomedical applications. Proficiency in Python and/or R, as