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- Nencki Institute of Experimental Biology
- 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)
- Institute of Physical Chemistry, Polish Academy of Sciences
- Jagiellonian University
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- Nicolaus Copernicus University in Torun
- Poznan University of Physical Education, POLAND
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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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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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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month 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
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interact effectively in an interdisciplinary team; Proficiency in English, both spoken and written. Specific Requirements Ph.D. degree in Math, Statistics, Physics, Computer Science or related quantitative
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proficiency in data analysis and statistical interpretation of research results is essential. - A significant scientific track record is required, including at least 10 publications in internationally
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cell or other bioelectrochemical systems technology - Fluency in additive manufacturing techniques, BES assembly, BES design - Fluency in statistic tools or moddelling apporoaches - Machine learning